id	sid	tid	token	lemma	pos
cuesj-733	1	1	tx_1	tx_1	PROPN
cuesj-733	1	2	~	~	X
cuesj-733	1	3	abs	ab	NOUN
cuesj-733	1	4	:	:	PUNCT
cuesj-733	1	5	at	at	ADP
cuesj-733	1	6	/	/	SYM
cuesj-733	1	7	add	add	VERB
cuesj-733	1	8	:	:	PUNCT
cuesj-733	1	9	tx_2	tx_2	PROPN
cuesj-733	1	10	~	~	NOUN
cuesj-733	1	11	abs	ab	NOUN
cuesj-733	1	12	:	:	PUNCT
cuesj-733	1	13	at	at	ADP
cuesj-733	1	14	133	133	NUM
cuesj-733	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	1	16	cuesj	cuesj	ADJ
cuesj-733	1	17	2022	2022	NUM
cuesj-733	1	18	,	,	PUNCT
cuesj-733	1	19	6	6	NUM
cuesj-733	1	20	(	(	PUNCT
cuesj-733	1	21	2	2	NUM
cuesj-733	1	22	):	):	PUNCT
cuesj-733	1	23	133	133	NUM
cuesj-733	1	24	-	-	SYM
cuesj-733	1	25	140	140	NUM
cuesj-733	1	26	research	research	NOUN
cuesj-733	1	27	article	article	NOUN
cuesj-733	1	28	the	the	DET
cuesj-733	1	29	use	use	NOUN
cuesj-733	1	30	of	of	ADP
cuesj-733	1	31	tobit	tobit	NOUN
cuesj-733	1	32	and	and	CCONJ
cuesj-733	1	33	logistic	logistic	ADJ
cuesj-733	1	34	regression	regression	NOUN
cuesj-733	1	35	models	model	NOUN
cuesj-733	1	36	to	to	PART
cuesj-733	1	37	study	study	VERB
cuesj-733	1	38	factors	factor	NOUN
cuesj-733	1	39	that	that	PRON
cuesj-733	1	40	affect	affect	VERB
cuesj-733	1	41	blood	blood	NOUN
cuesj-733	1	42	pressure	pressure	NOUN
cuesj-733	1	43	in	in	ADP
cuesj-733	1	44	cardiac	cardiac	ADJ
cuesj-733	1	45	patients	patient	NOUN
cuesj-733	1	46	bekhal	bekhal	PROPN
cuesj-733	1	47	s.	s.	PROPN
cuesj-733	1	48	sedeeq	sedeeq	PROPN
cuesj-733	1	49	,	,	PUNCT
cuesj-733	1	50	banaz	banaz	PROPN
cuesj-733	1	51	w.	w.	PROPN
cuesj-733	1	52	y.	y.	PROPN
cuesj-733	1	53	meran	meran	PROPN
cuesj-733	1	54	department	department	PROPN
cuesj-733	1	55	of	of	ADP
cuesj-733	1	56	statistics	statistic	NOUN
cuesj-733	1	57	,	,	PUNCT
cuesj-733	1	58	college	college	NOUN
cuesj-733	1	59	of	of	ADP
cuesj-733	1	60	administration	administration	NOUN
cuesj-733	1	61	and	and	CCONJ
cuesj-733	1	62	economics	economic	NOUN
cuesj-733	1	63	,	,	PUNCT
cuesj-733	1	64	salahaddin	salahaddin	VERB
cuesj-733	1	65	university	university	NOUN
cuesj-733	1	66	-	-	PUNCT
cuesj-733	1	67	erbil	erbil	PROPN
cuesj-733	1	68	,	,	PUNCT
cuesj-733	1	69	kurdistan	kurdistan	PROPN
cuesj-733	1	70	region	region	PROPN
cuesj-733	1	71	f.r	f.r	PROPN
cuesj-733	1	72	.	.	PROPN
cuesj-733	1	73	iraq	iraq	PROPN
cuesj-733	1	74	abstract	abstract	ADJ
cuesj-733	1	75	this	this	DET
cuesj-733	1	76	research	research	NOUN
cuesj-733	1	77	studies	study	VERB
cuesj-733	1	78	the	the	DET
cuesj-733	1	79	factors	factor	NOUN
cuesj-733	1	80	that	that	PRON
cuesj-733	1	81	affect	affect	VERB
cuesj-733	1	82	blood	blood	NOUN
cuesj-733	1	83	pressure	pressure	NOUN
cuesj-733	1	84	in	in	ADP
cuesj-733	1	85	cardiac	cardiac	ADJ
cuesj-733	1	86	patients	patient	NOUN
cuesj-733	1	87	using	use	VERB
cuesj-733	1	88	the	the	DET
cuesj-733	1	89	tobit	tobit	NOUN
cuesj-733	1	90	and	and	CCONJ
cuesj-733	1	91	logistic	logistic	ADJ
cuesj-733	1	92	regression	regression	NOUN
cuesj-733	1	93	models	model	NOUN
cuesj-733	1	94	.	.	PUNCT
cuesj-733	2	1	the	the	DET
cuesj-733	2	2	data	datum	NOUN
cuesj-733	2	3	have	have	AUX
cuesj-733	2	4	been	be	AUX
cuesj-733	2	5	collected	collect	VERB
cuesj-733	2	6	,	,	PUNCT
cuesj-733	2	7	from	from	ADP
cuesj-733	2	8	500	500	NUM
cuesj-733	2	9	 	 	SPACE
cuesj-733	2	10	patients	patient	NOUN
cuesj-733	2	11	with	with	ADP
cuesj-733	2	12	heart	heart	NOUN
cuesj-733	2	13	disease	disease	NOUN
cuesj-733	2	14	in	in	ADP
cuesj-733	2	15	hospital	hospital	NOUN
cuesj-733	2	16	–	–	PUNCT
cuesj-733	2	17	heart	heart	NOUN
cuesj-733	2	18	center	center	NOUN
cuesj-733	2	19	–	–	PUNCT
cuesj-733	2	20	erbil	erbil	PROPN
cuesj-733	2	21	.	.	PUNCT
cuesj-733	3	1	the	the	DET
cuesj-733	3	2	two	two	NUM
cuesj-733	3	3	levels	level	NOUN
cuesj-733	3	4	of	of	ADP
cuesj-733	3	5	blood	blood	NOUN
cuesj-733	3	6	pressure	pressure	NOUN
cuesj-733	3	7	,	,	PUNCT
cuesj-733	3	8	low	low	ADJ
cuesj-733	3	9	and	and	CCONJ
cuesj-733	3	10	high	high	ADJ
cuesj-733	3	11	blood	blood	NOUN
cuesj-733	3	12	pressures	pressure	NOUN
cuesj-733	3	13	,	,	PUNCT
cuesj-733	3	14	were	be	AUX
cuesj-733	3	15	taken	take	VERB
cuesj-733	3	16	from	from	ADP
cuesj-733	3	17	the	the	DET
cuesj-733	3	18	patients	patient	NOUN
cuesj-733	3	19	as	as	ADP
cuesj-733	3	20	dependent	dependent	ADJ
cuesj-733	3	21	variables	variable	NOUN
cuesj-733	3	22	plus	plus	CCONJ
cuesj-733	3	23	other	other	ADJ
cuesj-733	3	24	,	,	PUNCT
cuesj-733	3	25	independent	independent	ADJ
cuesj-733	3	26	variables	variable	NOUN
cuesj-733	3	27	(	(	PUNCT
cuesj-733	3	28	gender	gender	NOUN
cuesj-733	3	29	,	,	PUNCT
cuesj-733	3	30	age	age	NOUN
cuesj-733	3	31	,	,	PUNCT
cuesj-733	3	32	urea	urea	NOUN
cuesj-733	3	33	,	,	PUNCT
cuesj-733	3	34	cholesterol	cholesterol	NOUN
cuesj-733	3	35	,	,	PUNCT
cuesj-733	3	36	creatinine	creatinine	NOUN
cuesj-733	3	37	,	,	PUNCT
cuesj-733	3	38	and	and	CCONJ
cuesj-733	3	39	weight	weight	NOUN
cuesj-733	3	40	)	)	PUNCT
cuesj-733	3	41	.	.	PUNCT
cuesj-733	4	1	the	the	DET
cuesj-733	4	2	research	research	NOUN
cuesj-733	4	3	shows	show	VERB
cuesj-733	4	4	that	that	SCONJ
cuesj-733	4	5	the	the	DET
cuesj-733	4	6	median	median	NOUN
cuesj-733	4	7	of	of	ADP
cuesj-733	4	8	blood	blood	NOUN
cuesj-733	4	9	pressure	pressure	NOUN
cuesj-733	4	10	by	by	ADP
cuesj-733	4	11	means	mean	NOUN
cuesj-733	4	12	of	of	ADP
cuesj-733	4	13	arterial	arterial	ADJ
cuesj-733	4	14	pressure	pressure	NOUN
cuesj-733	4	15	(	(	PUNCT
cuesj-733	4	16	map	map	NOUN
cuesj-733	4	17	)	)	PUNCT
cuesj-733	4	18	equation	equation	NOUN
cuesj-733	4	19	contains	contain	VERB
cuesj-733	4	20	each	each	PRON
cuesj-733	4	21	of	of	ADP
cuesj-733	4	22	high	high	ADJ
cuesj-733	4	23	and	and	CCONJ
cuesj-733	4	24	low	low	ADJ
cuesj-733	4	25	blood	blood	NOUN
cuesj-733	4	26	pressures	pressure	NOUN
cuesj-733	4	27	differently	differently	ADV
cuesj-733	4	28	.	.	PUNCT
cuesj-733	5	1	this	this	PRON
cuesj-733	5	2	is	be	AUX
cuesj-733	5	3	due	due	ADJ
cuesj-733	5	4	to	to	ADP
cuesj-733	5	5	the	the	DET
cuesj-733	5	6	threshold	threshold	NOUN
cuesj-733	5	7	value	value	NOUN
cuesj-733	5	8	of	of	ADP
cuesj-733	5	9	99.33	99.33	NUM
cuesj-733	5	10	,	,	PUNCT
cuesj-733	5	11	equal	equal	ADJ
cuesj-733	5	12	to,12/8	to,12/8	NOUN
cuesj-733	5	13	 	 	SPACE
cuesj-733	5	14	mmhg	mmhg	NOUN
cuesj-733	5	15	,	,	PUNCT
cuesj-733	5	16	which	which	PRON
cuesj-733	5	17	represent	represent	VERB
cuesj-733	5	18	a	a	DET
cuesj-733	5	19	normal	normal	ADJ
cuesj-733	5	20	level	level	NOUN
cuesj-733	5	21	of	of	ADP
cuesj-733	5	22	a	a	DET
cuesj-733	5	23	human	human	ADJ
cuesj-733	5	24	blood	blood	NOUN
cuesj-733	5	25	pressure	pressure	NOUN
cuesj-733	5	26	.	.	PUNCT
cuesj-733	6	1	the	the	DET
cuesj-733	6	2	aim	aim	NOUN
cuesj-733	6	3	of	of	ADP
cuesj-733	6	4	this	this	DET
cuesj-733	6	5	research	research	NOUN
cuesj-733	6	6	is	be	AUX
cuesj-733	6	7	to	to	PART
cuesj-733	6	8	explain	explain	VERB
cuesj-733	6	9	the	the	DET
cuesj-733	6	10	main	main	ADJ
cuesj-733	6	11	concepts	concept	NOUN
cuesj-733	6	12	and	and	CCONJ
cuesj-733	6	13	processes	process	NOUN
cuesj-733	6	14	of	of	ADP
cuesj-733	6	15	tobit	tobit	NOUN
cuesj-733	6	16	regression	regression	NOUN
cuesj-733	6	17	analysis	analysis	NOUN
cuesj-733	6	18	(	(	PUNCT
cuesj-733	6	19	censored	censored	ADJ
cuesj-733	6	20	and	and	CCONJ
cuesj-733	6	21	truncated	truncated	ADJ
cuesj-733	6	22	)	)	PUNCT
cuesj-733	6	23	and	and	CCONJ
cuesj-733	6	24	logistic	logistic	ADJ
cuesj-733	6	25	regression	regression	NOUN
cuesj-733	6	26	analysis	analysis	NOUN
cuesj-733	6	27	,	,	PUNCT
cuesj-733	6	28	which	which	PRON
cuesj-733	6	29	are	be	AUX
cuesj-733	6	30	used	use	VERB
cuesj-733	6	31	for	for	ADP
cuesj-733	6	32	predicting	predict	VERB
cuesj-733	6	33	the	the	DET
cuesj-733	6	34	factors	factor	NOUN
cuesj-733	6	35	of	of	ADP
cuesj-733	6	36	independent	independent	ADJ
cuesj-733	6	37	variables	variable	NOUN
cuesj-733	6	38	that	that	PRON
cuesj-733	6	39	have	have	VERB
cuesj-733	6	40	more	more	ADJ
cuesj-733	6	41	effect	effect	NOUN
cuesj-733	6	42	on	on	ADP
cuesj-733	6	43	the	the	DET
cuesj-733	6	44	response	response	NOUN
cuesj-733	6	45	variables	variable	NOUN
cuesj-733	6	46	,	,	PUNCT
cuesj-733	6	47	for	for	ADP
cuesj-733	6	48	example	example	NOUN
cuesj-733	6	49	,	,	PUNCT
cuesj-733	6	50	blood	blood	NOUN
cuesj-733	6	51	pressureand	pressureand	NOUN
cuesj-733	6	52	to	to	PART
cuesj-733	6	53	compare	compare	VERB
cuesj-733	6	54	the	the	DET
cuesj-733	6	55	outcomes	outcome	NOUN
cuesj-733	6	56	of	of	ADP
cuesj-733	6	57	the	the	DET
cuesj-733	6	58	two	two	NUM
cuesj-733	6	59	models	model	NOUN
cuesj-733	6	60	(	(	PUNCT
cuesj-733	6	61	tobit	tobit	NOUN
cuesj-733	6	62	regression	regression	NOUN
cuesj-733	6	63	and	and	CCONJ
cuesj-733	6	64	logistic	logistic	ADJ
cuesj-733	6	65	regression	regression	NOUN
cuesj-733	6	66	)	)	PUNCT
cuesj-733	6	67	in	in	ADP
cuesj-733	6	68	order	order	NOUN
cuesj-733	6	69	to	to	PART
cuesj-733	6	70	determine	determine	VERB
cuesj-733	6	71	which	which	PRON
cuesj-733	6	72	of	of	ADP
cuesj-733	6	73	the	the	DET
cuesj-733	6	74	models	model	NOUN
cuesj-733	6	75	best	well	ADV
cuesj-733	6	76	fits	fit	VERB
cuesj-733	6	77	our	our	PRON
cuesj-733	6	78	data	datum	NOUN
cuesj-733	6	79	in	in	ADP
cuesj-733	6	80	which	which	PRON
cuesj-733	6	81	aic	aic	PROPN
cuesj-733	6	82	and	and	CCONJ
cuesj-733	6	83	bic	bic	PROPN
cuesj-733	6	84	are	be	AUX
cuesj-733	6	85	used	use	VERB
cuesj-733	6	86	.	.	PUNCT
cuesj-733	7	1	the	the	DET
cuesj-733	7	2	data	data	NOUN
cuesj-733	7	3	analysis	analysis	NOUN
cuesj-733	7	4	of	of	ADP
cuesj-733	7	5	this	this	DET
cuesj-733	7	6	research	research	NOUN
cuesj-733	7	7	shows	show	VERB
cuesj-733	7	8	that	that	SCONJ
cuesj-733	7	9	the	the	DET
cuesj-733	7	10	logistic	logistic	ADJ
cuesj-733	7	11	regression	regression	NOUN
cuesj-733	7	12	model	model	NOUN
cuesj-733	7	13	best	well	ADV
cuesj-733	7	14	fits	fit	VERB
cuesj-733	7	15	our	our	PRON
cuesj-733	7	16	data	datum	NOUN
cuesj-733	7	17	,	,	PUNCT
cuesj-733	7	18	as	as	SCONJ
cuesj-733	7	19	compared	compare	VERB
cuesj-733	7	20	with	with	ADP
cuesj-733	7	21	the	the	DET
cuesj-733	7	22	tobit	tobit	NOUN
cuesj-733	7	23	regression	regression	NOUN
cuesj-733	7	24	model	model	NOUN
cuesj-733	7	25	.	.	PUNCT
cuesj-733	8	1	the	the	DET
cuesj-733	8	2	data	data	NOUN
cuesj-733	8	3	analysis	analysis	NOUN
cuesj-733	8	4	has	have	AUX
cuesj-733	8	5	been	be	AUX
cuesj-733	8	6	achieved	achieve	VERB
cuesj-733	8	7	using	use	VERB
cuesj-733	8	8	statistical	statistical	ADJ
cuesj-733	8	9	packages	package	NOUN
cuesj-733	8	10	in	in	ADP
cuesj-733	8	11	r	r	NOUN
cuesj-733	8	12	programming	programming	NOUN
cuesj-733	8	13	,	,	PUNCT
cuesj-733	8	14	matlab	matlab	PROPN
cuesj-733	8	15	and	and	CCONJ
cuesj-733	8	16	statistical	statistical	ADJ
cuesj-733	8	17	package	package	NOUN
cuesj-733	8	18	for	for	ADP
cuesj-733	8	19	the	the	DET
cuesj-733	8	20	social	social	ADJ
cuesj-733	8	21	sciences	sciences	PROPN
cuesj-733	8	22	(	(	PUNCT
cuesj-733	8	23	spss	spss	PROPN
cuesj-733	8	24	)	)	PUNCT
cuesj-733	9	1	v.26	v.26	X
cuesj-733	9	2	.	.	PUNCT
cuesj-733	10	1	keywords	keyword	NOUN
cuesj-733	10	2	:	:	PUNCT
cuesj-733	10	3	akaike	akaike	ADJ
cuesj-733	10	4	information	information	NOUN
cuesj-733	10	5	criterion	criterion	NOUN
cuesj-733	10	6	,	,	PUNCT
cuesj-733	10	7	bayesian	bayesian	NOUN
cuesj-733	10	8	information	information	NOUN
cuesj-733	10	9	criterion	criterion	NOUN
cuesj-733	10	10	,	,	PUNCT
cuesj-733	10	11	censoring	censor	VERB
cuesj-733	10	12	,	,	PUNCT
cuesj-733	10	13	logistic	logistic	ADJ
cuesj-733	10	14	regression	regression	NOUN
cuesj-733	10	15	model	model	NOUN
cuesj-733	10	16	,	,	PUNCT
cuesj-733	10	17	tobit	tobit	PROPN
cuesj-733	10	18	regression	regression	NOUN
cuesj-733	10	19	model	model	NOUN
cuesj-733	10	20	,	,	PUNCT
cuesj-733	10	21	truncation	truncation	NOUN
cuesj-733	10	22	introduction	introduction	NOUN
cuesj-733	10	23	the	the	DET
cuesj-733	10	24	health	health	NOUN
cuesj-733	10	25	sector	sector	NOUN
cuesj-733	10	26	is	be	AUX
cuesj-733	10	27	one	one	NUM
cuesj-733	10	28	of	of	ADP
cuesj-733	10	29	the	the	DET
cuesj-733	10	30	most	most	ADV
cuesj-733	10	31	vital	vital	ADJ
cuesj-733	10	32	sectors	sector	NOUN
cuesj-733	10	33	that	that	PRON
cuesj-733	10	34	undertake	undertake	VERB
cuesj-733	10	35	the	the	DET
cuesj-733	10	36	task	task	NOUN
cuesj-733	10	37	of	of	ADP
cuesj-733	10	38	providing	provide	VERB
cuesj-733	10	39	health	health	NOUN
cuesj-733	10	40	services	service	NOUN
cuesj-733	10	41	to	to	ADP
cuesj-733	10	42	all	all	DET
cuesj-733	10	43	members	member	NOUN
cuesj-733	10	44	of	of	ADP
cuesj-733	10	45	society	society	NOUN
cuesj-733	10	46	through	through	ADP
cuesj-733	10	47	health	health	NOUN
cuesj-733	10	48	institutions	institution	NOUN
cuesj-733	10	49	to	to	PART
cuesj-733	10	50	protect	protect	VERB
cuesj-733	10	51	and	and	CCONJ
cuesj-733	10	52	improve	improve	VERB
cuesj-733	10	53	society	society	NOUN
cuesj-733	10	54	and	and	CCONJ
cuesj-733	10	55	achieve	achieve	VERB
cuesj-733	10	56	the	the	DET
cuesj-733	10	57	well	well	NOUN
cuesj-733	10	58	-	-	PUNCT
cuesj-733	10	59	being	being	NOUN
cuesj-733	10	60	of	of	ADP
cuesj-733	10	61	its	its	PRON
cuesj-733	10	62	members	member	NOUN
cuesj-733	10	63	.	.	PUNCT
cuesj-733	11	1	in	in	ADP
cuesj-733	11	2	fact	fact	NOUN
cuesj-733	11	3	,	,	PUNCT
cuesj-733	11	4	one	one	NUM
cuesj-733	11	5	of	of	ADP
cuesj-733	11	6	the	the	DET
cuesj-733	11	7	components	component	NOUN
cuesj-733	11	8	of	of	ADP
cuesj-733	11	9	building	build	VERB
cuesj-733	11	10	health	health	NOUN
cuesj-733	11	11	in	in	ADP
cuesj-733	11	12	society	society	NOUN
cuesj-733	11	13	is	be	AUX
cuesj-733	11	14	to	to	PART
cuesj-733	11	15	ward	ward	VERB
cuesj-733	11	16	off	off	ADP
cuesj-733	11	17	all	all	DET
cuesj-733	11	18	diseases	disease	NOUN
cuesj-733	11	19	,	,	PUNCT
cuesj-733	11	20	and	and	CCONJ
cuesj-733	11	21	at	at	ADP
cuesj-733	11	22	the	the	DET
cuesj-733	11	23	lead	lead	NOUN
cuesj-733	11	24	of	of	ADP
cuesj-733	11	25	these	these	DET
cuesj-733	11	26	diseases	disease	NOUN
cuesj-733	11	27	is	be	AUX
cuesj-733	11	28	cardiovascular	cardiovascular	ADJ
cuesj-733	11	29	disease	disease	NOUN
cuesj-733	11	30	,	,	PUNCT
cuesj-733	11	31	which	which	PRON
cuesj-733	11	32	is	be	AUX
cuesj-733	11	33	one	one	NUM
cuesj-733	11	34	of	of	ADP
cuesj-733	11	35	the	the	DET
cuesj-733	11	36	problems	problem	NOUN
cuesj-733	11	37	that	that	PRON
cuesj-733	11	38	challenge	challenge	VERB
cuesj-733	11	39	medicine	medicine	NOUN
cuesj-733	11	40	.	.	PUNCT
cuesj-733	12	1	cardiovascular	cardiovascular	ADJ
cuesj-733	12	2	disease	disease	NOUN
cuesj-733	12	3	,	,	PUNCT
cuesj-733	12	4	the	the	DET
cuesj-733	12	5	leading	lead	VERB
cuesj-733	12	6	cause	cause	NOUN
cuesj-733	12	7	of	of	ADP
cuesj-733	12	8	death	death	NOUN
cuesj-733	12	9	worldwide	worldwide	ADV
cuesj-733	12	10	,	,	PUNCT
cuesj-733	12	11	is	be	AUX
cuesj-733	12	12	greatly	greatly	ADV
cuesj-733	12	13	exacerbated	exacerbate	VERB
cuesj-733	12	14	by	by	ADP
cuesj-733	12	15	high	high	ADJ
cuesj-733	12	16	blood	blood	NOUN
cuesj-733	12	17	pressure	pressure	NOUN
cuesj-733	12	18	.	.	PUNCT
cuesj-733	13	1	around,54	around,54	PROPN
cuesj-733	13	2	%	%	NOUN
cuesj-733	13	3	of	of	ADP
cuesj-733	13	4	strokes	stroke	NOUN
cuesj-733	13	5	-	-	PUNCT
cuesj-733	13	6	and	and	CCONJ
cuesj-733	13	7	47	47	NUM
cuesj-733	13	8	%	%	NOUN
cuesj-733	13	9	of	of	ADP
cuesj-733	13	10	coronary	coronary	ADJ
cuesj-733	13	11	heart	heart	NOUN
cuesj-733	13	12	disease	disease	NOUN
cuesj-733	13	13	occur	occur	VERB
cuesj-733	13	14	worldwide	worldwide	ADV
cuesj-733	13	15	as	as	ADP
cuesj-733	13	16	a	a	DET
cuesj-733	13	17	result	result	NOUN
cuesj-733	13	18	of	of	ADP
cuesj-733	13	19	high	high	ADJ
cuesj-733	13	20	blood	blood	NOUN
cuesj-733	13	21	pressure	pressure	NOUN
cuesj-733	13	22	.	.	PUNCT
cuesj-733	14	1	high	high	ADJ
cuesj-733	14	2	blood	blood	NOUN
cuesj-733	14	3	pressure	pressure	NOUN
cuesj-733	14	4	is	be	AUX
cuesj-733	14	5	common	common	ADJ
cuesj-733	14	6	medical	medical	ADJ
cuesj-733	14	7	issue	issue	NOUN
cuesj-733	14	8	that	that	PRON
cuesj-733	14	9	becomes	become	VERB
cuesj-733	14	10	more	more	ADV
cuesj-733	14	11	prevalent	prevalent	ADJ
cuesj-733	14	12	as	as	SCONJ
cuesj-733	14	13	people	people	NOUN
cuesj-733	14	14	become	become	VERB
cuesj-733	14	15	older.[1	older.[1	ADP
cuesj-733	14	16	]	]	PUNCT
cuesj-733	14	17	there	there	PRON
cuesj-733	14	18	have	have	AUX
cuesj-733	14	19	been	be	AUX
cuesj-733	14	20	several	several	ADJ
cuesj-733	14	21	statistical	statistical	ADJ
cuesj-733	14	22	studies	study	NOUN
cuesj-733	14	23	of	of	ADP
cuesj-733	14	24	individual	individual	ADJ
cuesj-733	14	25	data	datum	NOUN
cuesj-733	14	26	that	that	PRON
cuesj-733	14	27	include	include	VERB
cuesj-733	14	28	observations	observation	NOUN
cuesj-733	14	29	in	in	ADP
cuesj-733	14	30	which	which	PRON
cuesj-733	14	31	a	a	DET
cuesj-733	14	32	dependent	dependent	ADJ
cuesj-733	14	33	variable	variable	NOUN
cuesj-733	14	34	is	be	AUX
cuesj-733	14	35	equal	equal	ADJ
cuesj-733	14	36	to	to	ADP
cuesj-733	14	37	0	0	NUM
cuesj-733	14	38	,	,	PUNCT
cuesj-733	14	39	for	for	ADP
cuesj-733	14	40	a	a	DET
cuesj-733	14	41	digit	digit	NOUN
cuesj-733	14	42	of	of	ADP
cuesj-733	14	43	observations	observation	NOUN
cuesj-733	14	44	in	in	ADP
cuesj-733	14	45	the	the	DET
cuesj-733	14	46	dataset	dataset	NOUN
cuesj-733	14	47	.	.	PUNCT
cuesj-733	15	1	this	this	DET
cuesj-733	15	2	behavior	behavior	NOUN
cuesj-733	15	3	is	be	AUX
cuesj-733	15	4	known	know	VERB
cuesj-733	15	5	as	as	ADP
cuesj-733	15	6	censored	censor	VERB
cuesj-733	15	7	or	or	CCONJ
cuesj-733	15	8	truncated	truncate	VERB
cuesj-733	15	9	data.[2	data.[2	NUM
cuesj-733	15	10	]	]	PUNCT
cuesj-733	15	11	since	since	SCONJ
cuesj-733	15	12	james	james	PROPN
cuesj-733	15	13	tobin	tobin	PROPN
cuesj-733	15	14	’s	’s	PART
cuesj-733	15	15	work	work	NOUN
cuesj-733	15	16	,	,	PUNCT
cuesj-733	15	17	the	the	DET
cuesj-733	15	18	tobit	tobit	NOUN
cuesj-733	15	19	regression	regression	NOUN
cuesj-733	15	20	has	have	AUX
cuesj-733	15	21	received	receive	VERB
cuesj-733	15	22	a	a	DET
cuesj-733	15	23	huge	huge	ADJ
cuesj-733	15	24	and	and	CCONJ
cuesj-733	15	25	diverse	diverse	ADJ
cuesj-733	15	26	amount	amount	NOUN
cuesj-733	15	27	of	of	ADP
cuesj-733	15	28	theoretical	theoretical	ADJ
cuesj-733	15	29	interest	interest	NOUN
cuesj-733	15	30	(	(	PUNCT
cuesj-733	15	31	1958	1958	NUM
cuesj-733	15	32	)	)	PUNCT
cuesj-733	15	33	.	.	PUNCT
cuesj-733	16	1	its	its	PRON
cuesj-733	16	2	use	use	NOUN
cuesj-733	16	3	in	in	ADP
cuesj-733	16	4	practical	practical	ADJ
cuesj-733	16	5	applications	application	NOUN
cuesj-733	16	6	has	have	AUX
cuesj-733	16	7	been	be	AUX
cuesj-733	16	8	developed	develop	VERB
cuesj-733	16	9	in	in	ADP
cuesj-733	16	10	fields	field	NOUN
cuesj-733	16	11	such	such	ADJ
cuesj-733	16	12	as	as	ADP
cuesj-733	16	13	economics	economic	NOUN
cuesj-733	16	14	,	,	PUNCT
cuesj-733	16	15	biology	biology	NOUN
cuesj-733	16	16	,	,	PUNCT
cuesj-733	16	17	finance	finance	NOUN
cuesj-733	16	18	,	,	PUNCT
cuesj-733	16	19	and	and	CCONJ
cuesj-733	16	20	medicine	medicine	NOUN
cuesj-733	16	21	.	.	PUNCT
cuesj-733	17	1	tobit	tobit	NOUN
cuesj-733	17	2	regression	regression	NOUN
cuesj-733	17	3	can	can	AUX
cuesj-733	17	4	be	be	AUX
cuesj-733	17	5	seen	see	VERB
cuesj-733	17	6	as	as	ADP
cuesj-733	17	7	a	a	DET
cuesj-733	17	8	linear	linear	ADJ
cuesj-733	17	9	regression	regression	NOUN
cuesj-733	17	10	model	model	NOUN
cuesj-733	17	11	where	where	SCONJ
cuesj-733	17	12	only	only	ADV
cuesj-733	17	13	the	the	DET
cuesj-733	17	14	data	datum	NOUN
cuesj-733	17	15	,	,	PUNCT
cuesj-733	17	16	on	on	ADP
cuesj-733	17	17	the	the	DET
cuesj-733	17	18	dependent	dependent	ADJ
cuesj-733	17	19	variable	variable	NOUN
cuesj-733	17	20	are	be	AUX
cuesj-733	17	21	incompletely	incompletely	ADV
cuesj-733	17	22	,	,	PUNCT
cuesj-733	17	23	observed.[3	observed.[3	NUM
cuesj-733	17	24	]	]	X
cuesj-733	17	25	logistic	logistic	ADJ
cuesj-733	17	26	regression	regression	NOUN
cuesj-733	17	27	is	be	AUX
cuesj-733	17	28	a	a	DET
cuesj-733	17	29	statistical	statistical	ADJ
cuesj-733	17	30	,	,	PUNCT
cuesj-733	17	31	method	method	NOUN
cuesj-733	17	32	for	for	ADP
cuesj-733	17	33	examining	examine	VERB
cuesj-733	17	34	the	the	DET
cuesj-733	17	35	relationship	relationship	NOUN
cuesj-733	17	36	among	among	ADP
cuesj-733	17	37	a	a	DET
cuesj-733	17	38	dependent	dependent	ADJ
cuesj-733	17	39	variable	variable	NOUN
cuesj-733	17	40	of	of	ADP
cuesj-733	17	41	a	a	DET
cuesj-733	17	42	nominal	nominal	ADJ
cuesj-733	17	43	level	level	NOUN
cuesj-733	17	44	and	and	CCONJ
cuesj-733	17	45	one	one	NUM
cuesj-733	17	46	or	or	CCONJ
cuesj-733	17	47	other	other	ADJ
cuesj-733	17	48	independent	independent	ADJ
cuesj-733	17	49	variables	variable	NOUN
cuesj-733	17	50	so	so	SCONJ
cuesj-733	17	51	that	that	SCONJ
cuesj-733	17	52	those	those	DET
cuesj-733	17	53	independent	independent	ADJ
cuesj-733	17	54	variables	variable	NOUN
cuesj-733	17	55	are	be	AUX
cuesj-733	17	56	from	from	ADP
cuesj-733	17	57	any	any	DET
cuesj-733	17	58	type	type	NOUN
cuesj-733	17	59	of	of	ADP
cuesj-733	17	60	measurement	measurement	NOUN
cuesj-733	17	61	level.[4	level.[4	NOUN
cuesj-733	17	62	]	]	X
cuesj-733	17	63	logistic	logistic	ADJ
cuesj-733	17	64	regression	regression	NOUN
cuesj-733	17	65	is	be	AUX
cuesj-733	17	66	investigation	investigation	NOUN
cuesj-733	17	67	of	of	ADP
cuesj-733	17	68	the	the	DET
cuesj-733	17	69	best	good	ADJ
cuesj-733	17	70	method	method	NOUN
cuesj-733	17	71	in	in	ADP
cuesj-733	17	72	the	the	DET
cuesj-733	17	73	case	case	NOUN
cuesj-733	17	74	of	of	ADP
cuesj-733	17	75	the	the	DET
cuesj-733	17	76	binary	binary	ADJ
cuesj-733	17	77	dependent	dependent	ADJ
cuesj-733	17	78	variable	variable	NOUN
cuesj-733	17	79	,	,	PUNCT
cuesj-733	17	80	according	accord	VERB
cuesj-733	17	81	to	to	ADP
cuesj-733	17	82	dayton[5	dayton[5	NOUN
cuesj-733	17	83	]	]	X
cuesj-733	17	84	logistic	logistic	ADJ
cuesj-733	17	85	regression	regression	NOUN
cuesj-733	17	86	,	,	PUNCT
cuesj-733	17	87	which	which	PRON
cuesj-733	17	88	is	be	AUX
cuesj-733	17	89	a	a	DET
cuesj-733	17	90	categorical	categorical	ADJ
cuesj-733	17	91	data	datum	NOUN
cuesj-733	17	92	statistical	statistical	ADJ
cuesj-733	17	93	modeling	modeling	NOUN
cuesj-733	17	94	method	method	NOUN
cuesj-733	17	95	.	.	PUNCT
cuesj-733	18	1	it	it	PRON
cuesj-733	18	2	is	be	AUX
cuesj-733	18	3	the	the	DET
cuesj-733	18	4	usages	usage	NOUN
cuesj-733	18	5	of	of	ADP
cuesj-733	18	6	the	the	DET
cuesj-733	18	7	same	same	ADJ
cuesj-733	18	8	logic	logic	NOUN
cuesj-733	18	9	as	as	ADP
cuesj-733	18	10	ordinary	ordinary	ADJ
cuesj-733	18	11	least	least	ADJ
cuesj-733	18	12	squares	square	NOUN
cuesj-733	18	13	regression	regression	NOUN
cuesj-733	18	14	.	.	PUNCT
cuesj-733	19	1	this	this	DET
cuesj-733	19	2	study	study	NOUN
cuesj-733	19	3	,	,	PUNCT
cuesj-733	19	4	aims	aim	VERB
cuesj-733	19	5	at	at	ADP
cuesj-733	19	6	:	:	PUNCT
cuesj-733	19	7	1	1	X
cuesj-733	19	8	.	.	X
cuesj-733	19	9	utilizing	utilize	VERB
cuesj-733	19	10	both	both	CCONJ
cuesj-733	19	11	the	the	DET
cuesj-733	19	12	tobit	tobit	NOUN
cuesj-733	19	13	and	and	CCONJ
cuesj-733	19	14	the	the	DET
cuesj-733	19	15	logistic	logistic	ADJ
cuesj-733	19	16	regression	regression	NOUN
cuesj-733	19	17	models	model	NOUN
cuesj-733	19	18	.	.	PUNCT
cuesj-733	20	1	corresponding	correspond	VERB
cuesj-733	20	2	author	author	NOUN
cuesj-733	20	3	:	:	PUNCT
cuesj-733	20	4	banaz	banaz	PROPN
cuesj-733	20	5	w.	w.	PROPN
cuesj-733	20	6	y.	y.	PROPN
cuesj-733	20	7	meran	meran	PROPN
cuesj-733	20	8	,	,	PUNCT
cuesj-733	20	9	department	department	NOUN
cuesj-733	20	10	of	of	ADP
cuesj-733	20	11	statistics	statistic	NOUN
cuesj-733	20	12	,	,	PUNCT
cuesj-733	20	13	college	college	NOUN
cuesj-733	20	14	of	of	ADP
cuesj-733	20	15	administration	administration	NOUN
cuesj-733	20	16	and	and	CCONJ
cuesj-733	20	17	economics	economic	NOUN
cuesj-733	20	18	,	,	PUNCT
cuesj-733	20	19	salahaddin	salahaddin	VERB
cuesj-733	20	20	university	university	NOUN
cuesj-733	20	21	-	-	PUNCT
cuesj-733	20	22	erbil	erbil	PROPN
cuesj-733	20	23	,	,	PUNCT
cuesj-733	20	24	kurdistan	kurdistan	PROPN
cuesj-733	20	25	region	region	PROPN
cuesj-733	20	26	f.r	f.r	PROPN
cuesj-733	20	27	.	.	PUNCT
cuesj-733	20	28	iraq	iraq	PROPN
cuesj-733	20	29	.	.	PUNCT
cuesj-733	21	1	e	e	X
cuesj-733	21	2	-	-	NOUN
cuesj-733	21	3	mail	mail	NOUN
cuesj-733	21	4	:	:	PUNCT
cuesj-733	21	5	banaz.yaqoob@su.edu.krd	banaz.yaqoob@su.edu.krd	NOUN
cuesj-733	21	6	received	receive	VERB
cuesj-733	21	7	:	:	PUNCT
cuesj-733	21	8	july	july	PROPN
cuesj-733	21	9	18	18	NUM
cuesj-733	21	10	,	,	PUNCT
cuesj-733	21	11	2022	2022	NUM
cuesj-733	21	12	accepted	accept	VERB
cuesj-733	21	13	:	:	PUNCT
cuesj-733	21	14	august	august	PROPN
cuesj-733	21	15	12	12	NUM
cuesj-733	21	16	,	,	PUNCT
cuesj-733	21	17	2022	2022	NUM
cuesj-733	21	18	published	publish	VERB
cuesj-733	21	19	:	:	PUNCT
cuesj-733	21	20	november	november	PROPN
cuesj-733	21	21	20	20	NUM
cuesj-733	21	22	,	,	PUNCT
cuesj-733	21	23	2022	2022	NUM
cuesj-733	21	24	doi	doi	NOUN
cuesj-733	21	25	:	:	PUNCT
cuesj-733	21	26	10.24086	10.24086	NUM
cuesj-733	21	27	/	/	SYM
cuesj-733	21	28	cuesj.v6n2y2022.pp133	cuesj.v6n2y2022.pp133	NOUN
cuesj-733	21	29	-	-	PUNCT
cuesj-733	21	30	140	140	NUM
cuesj-733	21	31	copyright	copyright	NOUN
cuesj-733	21	32	©	©	PROPN
cuesj-733	21	33	2022	2022	NUM
cuesj-733	21	34	banaz	banaz	NOUN
cuesj-733	21	35	w.y	w.y	PROPN
cuesj-733	21	36	meran	meran	VERB
cuesj-733	21	37	,	,	PUNCT
cuesj-733	21	38	bikhal	bikhal	VERB
cuesj-733	21	39	s.	s.	PROPN
cuesj-733	21	40	sedeeq	sedeeq	NOUN
cuesj-733	21	41	.	.	PUNCT
cuesj-733	22	1	this	this	PRON
cuesj-733	22	2	is	be	AUX
cuesj-733	22	3	an	an	DET
cuesj-733	22	4	open	open	ADJ
cuesj-733	22	5	-	-	PUNCT
cuesj-733	22	6	access	access	NOUN
cuesj-733	22	7	article	article	NOUN
cuesj-733	22	8	distributed	distribute	VERB
cuesj-733	22	9	under	under	ADP
cuesj-733	22	10	the	the	DET
cuesj-733	22	11	creative	creative	ADJ
cuesj-733	22	12	commons	common	NOUN
cuesj-733	22	13	attribution	attribution	NOUN
cuesj-733	22	14	license	license	NOUN
cuesj-733	22	15	(	(	PUNCT
cuesj-733	22	16	cc	cc	NOUN
cuesj-733	22	17	by	by	ADP
cuesj-733	22	18	-	-	PUNCT
cuesj-733	22	19	nc	nc	VERB
cuesj-733	22	20	-	-	PROPN
cuesj-733	22	21	nd	nd	PRON
cuesj-733	22	22	4.0	4.0	NUM
cuesj-733	22	23	)	)	PUNCT
cuesj-733	22	24	.	.	PUNCT
cuesj-733	23	1	cihan	cihan	VERB
cuesj-733	23	2	university	university	NOUN
cuesj-733	23	3	-	-	PUNCT
cuesj-733	23	4	erbil	erbil	PROPN
cuesj-733	23	5	scientific	scientific	ADJ
cuesj-733	23	6	journal	journal	NOUN
cuesj-733	23	7	(	(	PUNCT
cuesj-733	23	8	cuesj	cuesj	PROPN
cuesj-733	23	9	)	)	PUNCT
cuesj-733	23	10	meran	meran	ADJ
cuesj-733	23	11	and	and	CCONJ
cuesj-733	23	12	sedeeq	sedeeq	NOUN
cuesj-733	23	13	:	:	PUNCT
cuesj-733	23	14	tobit	tobit	NOUN
cuesj-733	23	15	and	and	CCONJ
cuesj-733	23	16	logistic	logistic	ADJ
cuesj-733	23	17	regression	regression	NOUN
cuesj-733	23	18	models	model	NOUN
cuesj-733	23	19	134	134	NUM
cuesj-733	23	20	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	23	21	cuesj	cuesj	ADJ
cuesj-733	23	22	2022	2022	NUM
cuesj-733	23	23	,	,	PUNCT
cuesj-733	23	24	6	6	NUM
cuesj-733	23	25	(	(	PUNCT
cuesj-733	23	26	2	2	NUM
cuesj-733	23	27	):	):	PUNCT
cuesj-733	23	28	133	133	NUM
cuesj-733	23	29	-	-	SYM
cuesj-733	23	30	140	140	NUM
cuesj-733	23	31	2	2	NUM
cuesj-733	23	32	.	.	PUNCT
cuesj-733	23	33	knowing	know	VERB
cuesj-733	23	34	which	which	DET
cuesj-733	23	35	factors	factor	NOUN
cuesj-733	23	36	of	of	ADP
cuesj-733	23	37	independent	independent	ADJ
cuesj-733	23	38	variables	variable	NOUN
cuesj-733	23	39	is	be	AUX
cuesj-733	23	40	more	more	ADJ
cuesj-733	23	41	effecter	effecter	NOUN
cuesj-733	23	42	on	on	ADP
cuesj-733	23	43	the	the	DET
cuesj-733	23	44	dependent	dependent	ADJ
cuesj-733	23	45	variable	variable	NOUN
cuesj-733	23	46	(	(	PUNCT
cuesj-733	23	47	blood	blood	NOUN
cuesj-733	23	48	pressure	pressure	NOUN
cuesj-733	23	49	)	)	PUNCT
cuesj-733	23	50	using	use	VERB
cuesj-733	23	51	both	both	DET
cuesj-733	23	52	models	model	NOUN
cuesj-733	23	53	.	.	PUNCT
cuesj-733	24	1	3	3	X
cuesj-733	24	2	.	.	X
cuesj-733	24	3	comparing	compare	VERB
cuesj-733	24	4	the	the	DET
cuesj-733	24	5	results	result	NOUN
cuesj-733	24	6	of	of	ADP
cuesj-733	24	7	the	the	DET
cuesj-733	24	8	two	two	NUM
cuesj-733	24	9	models	model	NOUN
cuesj-733	24	10	to	to	PART
cuesj-733	24	11	determine	determine	VERB
cuesj-733	24	12	which	which	DET
cuesj-733	24	13	one	one	NUM
cuesj-733	24	14	best	well	ADV
cuesj-733	24	15	fits	fit	VERB
cuesj-733	24	16	our	our	PRON
cuesj-733	24	17	data	datum	NOUN
cuesj-733	24	18	that	that	PRON
cuesj-733	24	19	are	be	AUX
cuesj-733	24	20	using	use	VERB
cuesj-733	24	21	akaike	akaike	ADJ
cuesj-733	24	22	information	information	NOUN
cuesj-733	24	23	criterion	criterion	NOUN
cuesj-733	24	24	(	(	PUNCT
cuesj-733	24	25	aic	aic	PROPN
cuesj-733	24	26	)	)	PUNCT
cuesj-733	24	27	and	and	CCONJ
cuesj-733	24	28	bayesian	bayesian	NOUN
cuesj-733	24	29	information	information	NOUN
cuesj-733	24	30	criterion	criterion	NOUN
cuesj-733	24	31	(	(	PUNCT
cuesj-733	24	32	bic	bic	PROPN
cuesj-733	24	33	)	)	PUNCT
cuesj-733	24	34	.	.	PUNCT
cuesj-733	25	1	literature	literature	NOUN
cuesj-733	25	2	reviews	review	NOUN
cuesj-733	25	3	shirafkan	shirafkan	VERB
cuesj-733	25	4	et	et	PROPN
cuesj-733	25	5	al.[6	al.[6	PROPN
cuesj-733	25	6	]	]	PUNCT
cuesj-733	25	7	estimated	estimate	VERB
cuesj-733	25	8	the	the	DET
cuesj-733	25	9	potential	potential	NOUN
cuesj-733	25	10	of	of	ADP
cuesj-733	25	11	tobit	tobit	NOUN
cuesj-733	25	12	regression	regression	NOUN
cuesj-733	25	13	,	,	PUNCT
cuesj-733	25	14	as	as	ADP
cuesj-733	25	15	a	a	DET
cuesj-733	25	16	method	method	NOUN
cuesj-733	25	17	to	to	PART
cuesj-733	25	18	study	study	VERB
cuesj-733	25	19	time	time	NOUN
cuesj-733	25	20	to	to	ADP
cuesj-733	25	21	onset	onset	NOUN
cuesj-733	25	22	of	of	ADP
cuesj-733	25	23	cytomegalovirus	cytomegalovirus	NOUN
cuesj-733	25	24	in	in	ADP
cuesj-733	25	25	renal	renal	ADJ
cuesj-733	25	26	recipient	recipient	NOUN
cuesj-733	25	27	transplants	transplant	NOUN
cuesj-733	25	28	.	.	PUNCT
cuesj-733	26	1	the	the	DET
cuesj-733	26	2	results	result	NOUN
cuesj-733	26	3	of	of	ADP
cuesj-733	26	4	this	this	DET
cuesj-733	26	5	study	study	NOUN
cuesj-733	26	6	revealed	reveal	VERB
cuesj-733	26	7	that	that	SCONJ
cuesj-733	26	8	the	the	DET
cuesj-733	26	9	age	age	NOUN
cuesj-733	26	10	of	of	ADP
cuesj-733	26	11	patients	patient	NOUN
cuesj-733	26	12	was	be	AUX
cuesj-733	26	13	influenced	influence	VERB
cuesj-733	26	14	by	by	ADP
cuesj-733	26	15	the	the	DET
cuesj-733	26	16	time	time	NOUN
cuesj-733	26	17	of	of	ADP
cuesj-733	26	18	onset	onset	NOUN
cuesj-733	26	19	of	of	ADP
cuesj-733	26	20	disease	disease	NOUN
cuesj-733	26	21	.	.	PUNCT
cuesj-733	27	1	consequently	consequently	ADV
cuesj-733	27	2	,	,	PUNCT
cuesj-733	27	3	the	the	PRON
cuesj-733	27	4	bigger	big	ADJ
cuesj-733	27	5	the	the	DET
cuesj-733	27	6	age	age	NOUN
cuesj-733	27	7	,	,	PUNCT
cuesj-733	27	8	the	the	DET
cuesj-733	27	9	shorter	short	ADJ
cuesj-733	27	10	time	time	NOUN
cuesj-733	27	11	required	require	VERB
cuesj-733	27	12	to	to	PART
cuesj-733	27	13	-	-	PUNCT
cuesj-733	27	14	start	start	VERB
cuesj-733	27	15	infection	infection	NOUN
cuesj-733	27	16	.	.	PUNCT
cuesj-733	28	1	karim	karim	PROPN
cuesj-733	28	2	et	et	PROPN
cuesj-733	28	3	al	al	PROPN
cuesj-733	28	4	.	.	PROPN
cuesj-733	28	5	,[7	,[7	PROPN
cuesj-733	28	6	]	]	PUNCT
cuesj-733	28	7	tobit	tobit	NOUN
cuesj-733	28	8	model	model	NOUN
cuesj-733	28	9	and	and	CCONJ
cuesj-733	28	10	the	the	DET
cuesj-733	28	11	traditional	traditional	ADJ
cuesj-733	28	12	regression	regression	NOUN
cuesj-733	28	13	model	model	NOUN
cuesj-733	28	14	were	be	AUX
cuesj-733	28	15	compared	compare	VERB
cuesj-733	28	16	on	on	ADP
cuesj-733	28	17	data	datum	NOUN
cuesj-733	28	18	taken	take	VERB
cuesj-733	28	19	from	from	ADP
cuesj-733	28	20	patients	patient	NOUN
cuesj-733	28	21	with	with	ADP
cuesj-733	28	22	kidney	kidney	NOUN
cuesj-733	28	23	disease	disease	NOUN
cuesj-733	28	24	,	,	PUNCT
cuesj-733	28	25	and	and	CCONJ
cuesj-733	28	26	through	through	ADP
cuesj-733	28	27	using	use	VERB
cuesj-733	28	28	some	some	DET
cuesj-733	28	29	statistical	statistical	ADJ
cuesj-733	28	30	measures	measure	NOUN
cuesj-733	28	31	,	,	PUNCT
cuesj-733	28	32	it	it	PRON
cuesj-733	28	33	was	be	AUX
cuesj-733	28	34	concluded	conclude	VERB
cuesj-733	28	35	that	that	SCONJ
cuesj-733	28	36	tobit	tobit	NOUN
cuesj-733	28	37	’s	’s	PART
cuesj-733	28	38	model	model	NOUN
cuesj-733	28	39	is	be	AUX
cuesj-733	28	40	preferable	preferable	ADJ
cuesj-733	28	41	than	than	ADP
cuesj-733	28	42	the	the	DET
cuesj-733	28	43	traditional	traditional	ADJ
cuesj-733	28	44	regression	regression	NOUN
cuesj-733	28	45	model	model	NOUN
cuesj-733	28	46	for	for	ADP
cuesj-733	28	47	this	this	DET
cuesj-733	28	48	type	type	NOUN
cuesj-733	28	49	of	of	ADP
cuesj-733	28	50	data	datum	NOUN
cuesj-733	28	51	.	.	PUNCT
cuesj-733	29	1	taleb	taleb	PROPN
cuesj-733	29	2	et	et	PROPN
cuesj-733	29	3	al.[8	al.[8	PROPN
cuesj-733	29	4	]	]	PUNCT
cuesj-733	29	5	used	use	VERB
cuesj-733	29	6	a	a	DET
cuesj-733	29	7	binary	binary	ADJ
cuesj-733	29	8	logistic	logistic	ADJ
cuesj-733	29	9	regression	regression	NOUN
cuesj-733	29	10	model	model	NOUN
cuesj-733	29	11	,	,	PUNCT
cuesj-733	29	12	estimating	estimate	VERB
cuesj-733	29	13	the	the	DET
cuesj-733	29	14	coefficients	coefficient	NOUN
cuesj-733	29	15	of	of	ADP
cuesj-733	29	16	this	this	DET
cuesj-733	29	17	model	model	NOUN
cuesj-733	29	18	the	the	DET
cuesj-733	29	19	least	least	ADJ
cuesj-733	29	20	squares	square	NOUN
cuesj-733	29	21	method	method	NOUN
cuesj-733	29	22	for	for	ADP
cuesj-733	29	23	people	people	NOUN
cuesj-733	29	24	with	with	ADP
cuesj-733	29	25	heart	heart	NOUN
cuesj-733	29	26	disease	disease	NOUN
cuesj-733	29	27	.	.	PUNCT
cuesj-733	30	1	the	the	DET
cuesj-733	30	2	aim	aim	NOUN
cuesj-733	30	3	of	of	ADP
cuesj-733	30	4	the	the	DET
cuesj-733	30	5	investigation	investigation	NOUN
cuesj-733	30	6	was	be	AUX
cuesj-733	30	7	to	to	PART
cuesj-733	30	8	compare	compare	VERB
cuesj-733	30	9	the	the	DET
cuesj-733	30	10	actual	actual	ADJ
cuesj-733	30	11	reasons	reason	NOUN
cuesj-733	30	12	of	of	ADP
cuesj-733	30	13	death	death	NOUN
cuesj-733	30	14	with	with	ADP
cuesj-733	30	15	the	the	DET
cuesj-733	30	16	estimated	estimate	VERB
cuesj-733	30	17	causes	cause	NOUN
cuesj-733	30	18	of	of	ADP
cuesj-733	30	19	death	death	NOUN
cuesj-733	30	20	.	.	PUNCT
cuesj-733	31	1	the	the	DET
cuesj-733	31	2	binary	binary	PROPN
cuesj-733	31	3	logistic	logistic	PROPN
cuesj-733	31	4	regression	regression	NOUN
cuesj-733	31	5	model	model	NOUN
cuesj-733	31	6	concluded	conclude	VERB
cuesj-733	31	7	that	that	SCONJ
cuesj-733	31	8	smoking	smoking	NOUN
cuesj-733	31	9	was	be	AUX
cuesj-733	31	10	the	the	DET
cuesj-733	31	11	leading	lead	VERB
cuesj-733	31	12	cause	cause	NOUN
cuesj-733	31	13	of	of	ADP
cuesj-733	31	14	death	death	NOUN
cuesj-733	31	15	.	.	PUNCT
cuesj-733	32	1	rambeli	rambeli	AUX
cuesj-733	32	2	et	et	PROPN
cuesj-733	32	3	al.[9	al.[9	PROPN
cuesj-733	32	4	]	]	PUNCT
cuesj-733	32	5	used	use	VERB
cuesj-733	32	6	the	the	DET
cuesj-733	32	7	binary	binary	PROPN
cuesj-733	32	8	logistic	logistic	ADJ
cuesj-733	32	9	model	model	NOUN
cuesj-733	32	10	for	for	ADP
cuesj-733	32	11	a	a	DET
cuesj-733	32	12	study	study	NOUN
cuesj-733	32	13	the	the	DET
cuesj-733	32	14	aim	aim	NOUN
cuesj-733	32	15	of	of	ADP
cuesj-733	32	16	which	which	PRON
cuesj-733	32	17	was	be	AUX
cuesj-733	32	18	to	to	PART
cuesj-733	32	19	identify	identify	VERB
cuesj-733	32	20	the	the	DET
cuesj-733	32	21	factors	factor	NOUN
cuesj-733	32	22	that	that	PRON
cuesj-733	32	23	influence	influence	VERB
cuesj-733	32	24	a	a	DET
cuesj-733	32	25	teacher	teacher	NOUN
cuesj-733	32	26	’s	’s	PART
cuesj-733	32	27	decision	decision	NOUN
cuesj-733	32	28	to	to	PART
cuesj-733	32	29	remain	remain	VERB
cuesj-733	32	30	in	in	ADP
cuesj-733	32	31	their	their	PRON
cuesj-733	32	32	professional	professional	ADJ
cuesj-733	32	33	life	life	NOUN
cuesj-733	32	34	.	.	PUNCT
cuesj-733	33	1	the	the	DET
cuesj-733	33	2	result	result	NOUN
cuesj-733	33	3	showed	show	VERB
cuesj-733	33	4	that	that	SCONJ
cuesj-733	33	5	the	the	DET
cuesj-733	33	6	income	income	NOUN
cuesj-733	33	7	was	be	AUX
cuesj-733	33	8	considered	consider	VERB
cuesj-733	33	9	as	as	ADP
cuesj-733	33	10	a	a	DET
cuesj-733	33	11	key	key	ADJ
cuesj-733	33	12	factor	factor	NOUN
cuesj-733	33	13	in	in	ADP
cuesj-733	33	14	teacher	teacher	NOUN
cuesj-733	33	15	remaining	remain	VERB
cuesj-733	33	16	committed	committed	ADJ
cuesj-733	33	17	to	to	ADP
cuesj-733	33	18	the	the	DET
cuesj-733	33	19	profession	profession	NOUN
cuesj-733	33	20	.	.	PUNCT
cuesj-733	34	1	methodology	methodology	NOUN
cuesj-733	34	2	this	this	DET
cuesj-733	34	3	research	research	NOUN
cuesj-733	34	4	contains	contain	VERB
cuesj-733	34	5	three	three	NUM
cuesj-733	34	6	parts	part	NOUN
cuesj-733	34	7	:	:	PUNCT
cuesj-733	34	8	the	the	DET
cuesj-733	34	9	first	first	ADJ
cuesj-733	34	10	part	part	NOUN
cuesj-733	34	11	of	of	ADP
cuesj-733	34	12	this	this	DET
cuesj-733	34	13	research	research	NOUN
cuesj-733	34	14	included	include	VERB
cuesj-733	34	15	the	the	DET
cuesj-733	34	16	introduction	introduction	NOUN
cuesj-733	34	17	,	,	PUNCT
cuesj-733	34	18	methodology	methodology	NOUN
cuesj-733	34	19	,	,	PUNCT
cuesj-733	34	20	aim	aim	NOUN
cuesj-733	34	21	of	of	ADP
cuesj-733	34	22	the	the	DET
cuesj-733	34	23	study	study	NOUN
cuesj-733	34	24	,	,	PUNCT
cuesj-733	34	25	and	and	CCONJ
cuesj-733	34	26	review	review	NOUN
cuesj-733	34	27	of	of	ADP
cuesj-733	34	28	the	the	DET
cuesj-733	34	29	literature	literature	NOUN
cuesj-733	34	30	.	.	PUNCT
cuesj-733	35	1	the	the	DET
cuesj-733	35	2	second	second	ADJ
cuesj-733	35	3	part	part	NOUN
cuesj-733	35	4	of	of	ADP
cuesj-733	35	5	the	the	DET
cuesj-733	35	6	research	research	NOUN
cuesj-733	35	7	included	include	VERB
cuesj-733	35	8	the	the	DET
cuesj-733	35	9	basic	basic	ADJ
cuesj-733	35	10	concepts	concept	NOUN
cuesj-733	35	11	of	of	ADP
cuesj-733	35	12	the	the	DET
cuesj-733	35	13	two	two	NUM
cuesj-733	35	14	models	model	NOUN
cuesj-733	35	15	and	and	CCONJ
cuesj-733	35	16	the	the	DET
cuesj-733	35	17	last	last	ADJ
cuesj-733	35	18	part	part	NOUN
cuesj-733	35	19	contains	contain	VERB
cuesj-733	35	20	data	datum	NOUN
cuesj-733	35	21	applications	application	NOUN
cuesj-733	35	22	,	,	PUNCT
cuesj-733	35	23	implementation	implementation	NOUN
cuesj-733	35	24	of	of	ADP
cuesj-733	35	25	two	two	NUM
cuesj-733	35	26	models	model	NOUN
cuesj-733	35	27	,	,	PUNCT
cuesj-733	35	28	and	and	CCONJ
cuesj-733	35	29	interpretation	interpretation	NOUN
cuesj-733	35	30	of	of	ADP
cuesj-733	35	31	the	the	DET
cuesj-733	35	32	results	result	NOUN
cuesj-733	35	33	.	.	PUNCT
cuesj-733	36	1	tobit	tobit	NOUN
cuesj-733	36	2	regression	regression	PROPN
cuesj-733	36	3	model	model	NOUN
cuesj-733	36	4	regression	regression	NOUN
cuesj-733	36	5	analysis	analysis	NOUN
cuesj-733	36	6	is	be	AUX
cuesj-733	36	7	one	one	NUM
cuesj-733	36	8	of	of	ADP
cuesj-733	36	9	the	the	DET
cuesj-733	36	10	most	most	ADV
cuesj-733	36	11	important	important	ADJ
cuesj-733	36	12	ways	way	NOUN
cuesj-733	36	13	to	to	PART
cuesj-733	36	14	find	find	VERB
cuesj-733	36	15	out	out	ADP
cuesj-733	36	16	the	the	DET
cuesj-733	36	17	significant	significant	ADJ
cuesj-733	36	18	effect	effect	NOUN
cuesj-733	36	19	between	between	ADP
cuesj-733	36	20	the	the	DET
cuesj-733	36	21	dependent	dependent	ADJ
cuesj-733	36	22	variable	variable	NOUN
cuesj-733	36	23	and	and	CCONJ
cuesj-733	36	24	explanatory	explanatory	ADJ
cuesj-733	36	25	,	,	PUNCT
cuesj-733	36	26	variables	variable	NOUN
cuesj-733	36	27	but	but	CCONJ
cuesj-733	36	28	sometimes	sometimes	ADV
cuesj-733	36	29	,	,	PUNCT
cuesj-733	36	30	the	the	DET
cuesj-733	36	31	dependent	dependent	ADJ
cuesj-733	36	32	variable	variable	NOUN
cuesj-733	36	33	is	be	AUX
cuesj-733	36	34	constrained	constrain	VERB
cuesj-733	36	35	to	to	ADP
cuesj-733	36	36	the	the	DET
cuesj-733	36	37	threshold	threshold	NOUN
cuesj-733	36	38	point	point	NOUN
cuesj-733	36	39	.	.	PUNCT
cuesj-733	37	1	in	in	ADP
cuesj-733	37	2	this	this	DET
cuesj-733	37	3	situation	situation	NOUN
cuesj-733	37	4	,	,	PUNCT
cuesj-733	37	5	the	the	DET
cuesj-733	37	6	use	use	NOUN
cuesj-733	37	7	of	of	ADP
cuesj-733	37	8	the	the	DET
cuesj-733	37	9	traditional	traditional	ADJ
cuesj-733	37	10	regression	regression	NOUN
cuesj-733	37	11	model	model	NOUN
cuesj-733	37	12	is	be	AUX
cuesj-733	37	13	biased	bias	VERB
cuesj-733	37	14	.	.	PUNCT
cuesj-733	38	1	with	with	ADP
cuesj-733	38	2	this	this	DET
cuesj-733	38	3	kind	kind	NOUN
cuesj-733	38	4	of	of	ADP
cuesj-733	38	5	data	datum	NOUN
cuesj-733	38	6	,	,	PUNCT
cuesj-733	38	7	using	use	VERB
cuesj-733	38	8	the	the	DET
cuesj-733	38	9	tobit	tobit	NOUN
cuesj-733	38	10	regression	regression	NOUN
cuesj-733	38	11	model	model	NOUN
cuesj-733	38	12	is	be	AUX
cuesj-733	38	13	the	the	DET
cuesj-733	38	14	best	good	ADJ
cuesj-733	38	15	option	option	NOUN
cuesj-733	38	16	.	.	PUNCT
cuesj-733	39	1	logistic	logistic	ADJ
cuesj-733	39	2	-	-	PUNCT
cuesj-733	39	3	regression	regression	NOUN
cuesj-733	39	4	,	,	PUNCT
cuesj-733	39	5	it	it	PRON
cuesj-733	39	6	is	be	AUX
cuesj-733	39	7	used	use	VERB
cuesj-733	39	8	as	as	ADP
cuesj-733	39	9	in	in	ADP
cuesj-733	39	10	this	this	PRON
cuesj-733	39	11	,	,	PUNCT
cuesj-733	39	12	study	study	NOUN
cuesj-733	39	13	.	.	PUNCT
cuesj-733	40	1	the	the	DET
cuesj-733	40	2	analysis	analysis	NOUN
cuesj-733	40	3	of	of	ADP
cuesj-733	40	4	the	the	DET
cuesj-733	40	5	tobit	tobit	NOUN
cuesj-733	40	6	regression	regression	NOUN
cuesj-733	40	7	means	mean	VERB
cuesj-733	40	8	the	the	DET
cuesj-733	40	9	,	,	PUNCT
cuesj-733	40	10	statistical	statistical	ADJ
cuesj-733	40	11	method	method	NOUN
cuesj-733	40	12	used	use	VERB
cuesj-733	40	13	to	to	PART
cuesj-733	40	14	examine	examine	VERB
cuesj-733	40	15	the	the	DET
cuesj-733	40	16	relationship	relationship	NOUN
cuesj-733	40	17	between	between	ADP
cuesj-733	40	18	the	the	DET
cuesj-733	40	19	limited	limited	ADJ
cuesj-733	40	20	dependent	dependent	ADJ
cuesj-733	40	21	variable	variable	NOUN
cuesj-733	40	22	and	and	CCONJ
cuesj-733	40	23	explanatory	explanatory	ADJ
cuesj-733	40	24	variables	variable	NOUN
cuesj-733	40	25	of	of	ADP
cuesj-733	40	26	any	any	DET
cuesj-733	40	27	type	type	NOUN
cuesj-733	40	28	.	.	PUNCT
cuesj-733	41	1	the	the	DET
cuesj-733	41	2	analysis	analysis	NOUN
cuesj-733	41	3	in	in	ADP
cuesj-733	41	4	this	this	DET
cuesj-733	41	5	situation	situation	NOUN
cuesj-733	41	6	is	be	AUX
cuesj-733	41	7	named	name	VERB
cuesj-733	41	8	a	a	DET
cuesj-733	41	9	tobit	tobit	NOUN
cuesj-733	41	10	regression	regression	NOUN
cuesj-733	41	11	.	.	PUNCT
cuesj-733	42	1	a	a	DET
cuesj-733	42	2	limited	limited	ADJ
cuesj-733	42	3	dependent	dependent	ADJ
cuesj-733	42	4	variable	variable	NOUN
cuesj-733	42	5	is	be	AUX
cuesj-733	42	6	the	the	DET
cuesj-733	42	7	one	one	NUM
cuesj-733	42	8	whose	whose	DET
cuesj-733	42	9	range	range	NOUN
cuesj-733	42	10	of	of	ADP
cuesj-733	42	11	potential	potential	ADJ
cuesj-733	42	12	values	value	NOUN
cuesj-733	42	13	is	be	AUX
cuesj-733	42	14	constrained	constrain	VERB
cuesj-733	42	15	in	in	ADP
cuesj-733	42	16	some	some	DET
cuesj-733	42	17	significant	significant	ADJ
cuesj-733	42	18	way.[10	way.[10	NOUN
cuesj-733	42	19	]	]	PUNCT
cuesj-733	42	20	limited	limited	ADJ
cuesj-733	42	21	dependent	dependent	ADJ
cuesj-733	42	22	variable	variable	ADJ
cuesj-733	42	23	models	model	NOUN
cuesj-733	42	24	contain	contain	VERB
cuesj-733	42	25	:	:	PUNCT
cuesj-733	42	26	a	a	PRON
cuesj-733	42	27	–	–	PUNCT
cuesj-733	42	28	censoring	censor	VERB
cuesj-733	42	29	,	,	PUNCT
cuesj-733	42	30	in	in	ADP
cuesj-733	42	31	which	which	PRON
cuesj-733	42	32	some	some	DET
cuesj-733	42	33	data	datum	NOUN
cuesj-733	42	34	are	be	AUX
cuesj-733	42	35	lost	lose	VERB
cuesj-733	42	36	but	but	CCONJ
cuesj-733	42	37	other	other	ADJ
cuesj-733	42	38	data	datum	NOUN
cuesj-733	42	39	are	be	AUX
cuesj-733	42	40	present	present	ADJ
cuesj-733	42	41	for	for	ADP
cuesj-733	42	42	certain	certain	ADJ
cuesj-733	42	43	persons	person	NOUN
cuesj-733	42	44	in	in	ADP
cuesj-733	42	45	a	a	DET
cuesj-733	42	46	data	data	NOUN
cuesj-733	42	47	collection	collection	NOUN
cuesj-733	42	48	and	and	CCONJ
cuesj-733	42	49	b	b	NOUN
cuesj-733	42	50	–	–	PUNCT
cuesj-733	42	51	truncation	truncation	NOUN
cuesj-733	42	52	,	,	PUNCT
cuesj-733	42	53	in	in	ADP
cuesj-733	42	54	which	which	PRON
cuesj-733	42	55	some	some	DET
cuesj-733	42	56	individuals	individual	NOUN
cuesj-733	42	57	are	be	AUX
cuesj-733	42	58	purposefully	purposefully	ADV
cuesj-733	42	59	removed	remove	VERB
cuesj-733	42	60	from	from	ADP
cuesj-733	42	61	observation.[11	observation.[11	ADP
cuesj-733	42	62	]	]	PUNCT
cuesj-733	42	63	tobin	tobin	PROPN
cuesj-733	42	64	used	use	VERB
cuesj-733	42	65	a	a	DET
cuesj-733	42	66	regression	regression	NOUN
cuesj-733	42	67	model	model	NOUN
cuesj-733	42	68	based	base	VERB
cuesj-733	42	69	on	on	ADP
cuesj-733	42	70	household	household	NOUN
cuesj-733	42	71	expenditures	expenditure	NOUN
cuesj-733	42	72	that	that	PRON
cuesj-733	42	73	particularly	particularly	ADV
cuesj-733	42	74	took	take	VERB
cuesj-733	42	75	into	into	ADP
cuesj-733	42	76	account	account	NOUN
cuesj-733	42	77	the	the	DET
cuesj-733	42	78	fact	fact	NOUN
cuesj-733	42	79	that	that	SCONJ
cuesj-733	42	80	(	(	PUNCT
cuesj-733	42	81	his	his	PRON
cuesj-733	42	82	regression	regression	NOUN
cuesj-733	42	83	model	model	NOUN
cuesj-733	42	84	’s	’s	PART
cuesj-733	42	85	dependent	dependent	ADJ
cuesj-733	42	86	variable	variable	NOUN
cuesj-733	42	87	)	)	PUNCT
cuesj-733	42	88	can	can	AUX
cuesj-733	42	89	not	not	PART
cuesj-733	42	90	be	be	AUX
cuesj-733	42	91	negative	negative	ADJ
cuesj-733	42	92	.	.	PUNCT
cuesj-733	43	1	tobin	tobin	PROPN
cuesj-733	43	2	coined	coin	VERB
cuesj-733	43	3	the	the	DET
cuesj-733	43	4	phrase	phrase	NOUN
cuesj-733	43	5	“	"	PUNCT
cuesj-733	43	6	model	model	NOUN
cuesj-733	43	7	of	of	ADP
cuesj-733	43	8	constrained	constrain	VERB
cuesj-733	43	9	dependent	dependent	ADJ
cuesj-733	43	10	variables	variable	NOUN
cuesj-733	43	11	”	"	PUNCT
cuesj-733	43	12	to	to	PART
cuesj-733	43	13	describe	describe	VERB
cuesj-733	43	14	his	his	PRON
cuesj-733	43	15	approach	approach	NOUN
cuesj-733	43	16	,	,	PUNCT
cuesj-733	43	17	a	a	DET
cuesj-733	43	18	term	term	NOUN
cuesj-733	43	19	invented	invent	VERB
cuesj-733	43	20	by	by	ADP
cuesj-733	43	21	goldberger	goldberger	ADJ
cuesj-733	43	22	(	(	PUNCT
cuesj-733	43	23	1964	1964	NUM
cuesj-733	43	24	)	)	PUNCT
cuesj-733	43	25	for	for	ADP
cuesj-733	43	26	the	the	DET
cuesj-733	43	27	reason	reason	NOUN
cuesj-733	43	28	that	that	PRON
cuesj-733	43	29	they	they	PRON
cuesj-733	43	30	resemble	resemble	VERB
cuesj-733	43	31	probit	probit	NOUN
cuesj-733	43	32	models	model	NOUN
cuesj-733	43	33	.	.	PUNCT
cuesj-733	44	1	these	these	DET
cuesj-733	44	2	models	model	NOUN
cuesj-733	44	3	are	be	AUX
cuesj-733	44	4	frequently	frequently	ADV
cuesj-733	44	5	denoted	denote	VERB
cuesj-733	44	6	to	to	ADP
cuesj-733	44	7	as	as	ADP
cuesj-733	44	8	truncated	truncated	ADJ
cuesj-733	44	9	or	or	CCONJ
cuesj-733	44	10	censored	censored	ADJ
cuesj-733	44	11	models	model	NOUN
cuesj-733	44	12	.	.	PUNCT
cuesj-733	45	1	if	if	SCONJ
cuesj-733	45	2	the	the	DET
cuesj-733	45	3	observations	observation	NOUN
cuesj-733	45	4	are	be	AUX
cuesj-733	45	5	lost	lose	VERB
cuesj-733	45	6	outside	outside	ADV
cuesj-733	45	7	of	of	ADP
cuesj-733	45	8	a	a	DET
cuesj-733	45	9	carefully	carefully	ADV
cuesj-733	45	10	defined	define	VERB
cuesj-733	45	11	range	range	NOUN
cuesj-733	45	12	and	and	CCONJ
cuesj-733	45	13	are	be	AUX
cuesj-733	45	14	censored	censor	VERB
cuesj-733	45	15	,	,	PUNCT
cuesj-733	45	16	the	the	DET
cuesj-733	45	17	model	model	NOUN
cuesj-733	45	18	is	be	AUX
cuesj-733	45	19	called	call	VERB
cuesj-733	45	20	a	a	DET
cuesj-733	45	21	truncated	truncated	ADJ
cuesj-733	45	22	model.[12	model.[12	PROPN
cuesj-733	45	23	]	]	X
cuesj-733	45	24	the	the	DET
cuesj-733	45	25	structural	structural	ADJ
cuesj-733	45	26	tobit	tobit	NOUN
cuesj-733	45	27	model	model	NOUN
cuesj-733	45	28	y	y	PROPN
cuesj-733	45	29	xi	xi	PROPN
cuesj-733	45	30	*	*	PUNCT
cuesj-733	45	31	�	�	PROPN
cuesj-733	45	32	�	�	PROPN
cuesj-733	45	33	�	�	PROPN
cuesj-733	45	34	ei	ei	PROPN
cuesj-733	45	35	�	�	PROPN
cuesj-733	45	36	where	where	SCONJ
cuesj-733	45	37	,	,	PUNCT
cuesj-733	45	38	ei	ei	X
cuesj-733	45	39	~	~	PUNCT
cuesj-733	45	40	n(0	n(0	PROPN
cuesj-733	45	41	,	,	PUNCT
cuesj-733	45	42	σ2	σ2	NOUN
cuesj-733	45	43	)	)	PUNCT
cuesj-733	45	44	.	.	PUNCT
cuesj-733	46	1	y	y	X
cuesj-733	46	2	*	*	PUNCT
cuesj-733	46	3	is	be	AUX
cuesj-733	46	4	a	a	DET
cuesj-733	46	5	latent	latent	ADJ
cuesj-733	46	6	variable	variable	NOUN
cuesj-733	46	7	that	that	PRON
cuesj-733	46	8	is	be	AUX
cuesj-733	46	9	observed	observe	VERB
cuesj-733	46	10	y	y	NOUN
cuesj-733	46	11	,	,	PUNCT
cuesj-733	46	12	shown	show	VERB
cuesj-733	46	13	by	by	ADP
cuesj-733	46	14	the	the	DET
cuesj-733	46	15	following	follow	VERB
cuesj-733	46	16	equation	equation	NOUN
cuesj-733	46	17	y	y	PROPN
cuesj-733	46	18	y	y	PROPN
cuesj-733	46	19	if	if	SCONJ
cuesj-733	46	20	y	y	PROPN
cuesj-733	46	21	if	if	SCONJ
cuesj-733	46	22	yi	yi	PROPN
cuesj-733	46	23	y	y	PROPN
cuesj-733	46	24	�	�	PROPN
cuesj-733	46	25	�	�	PROPN
cuesj-733	46	26	�	�	PROPN
cuesj-733	46	27	�	�	PROPN
cuesj-733	46	28	�	�	PROPN
cuesj-733	46	29	�	�	PROPN
cuesj-733	46	30	�	�	PROPN
cuesj-733	46	31	�	�	PROPN
cuesj-733	46	32	*	*	PUNCT
cuesj-733	46	33	*	*	PUNCT
cuesj-733	46	34	�	�	PROPN
cuesj-733	46	35	�	�	PROPN
cuesj-733	46	36	�	�	PROPN
cuesj-733	46	37	�	�	PROPN
cuesj-733	46	38	*	*	SYM
cuesj-733	46	39	�	�	PROPN
cuesj-733	46	40	�	�	PROPN
cuesj-733	46	41	�	�	PROPN
cuesj-733	46	42	�	�	PROPN
cuesj-733	46	43	�	�	PROPN
cuesj-733	46	44	�	�	PROPN
cuesj-733	46	45	�	�	PROPN
cuesj-733	46	46	�	�	PROPN
cuesj-733	46	47	�	�	PROPN
cuesj-733	46	48	�	�	PROPN
cuesj-733	46	49	�	�	PROPN
cuesj-733	46	50	�	�	PROPN
cuesj-733	46	51	�	�	PROPN
cuesj-733	46	52	�	�	PROPN
cuesj-733	46	53	�	�	PROPN
cuesj-733	46	54	�	�	PROPN
cuesj-733	46	55	�	�	PROPN
cuesj-733	46	56	�	�	PROPN
cuesj-733	46	57	�	�	PROPN
cuesj-733	46	58	�	�	PROPN
cuesj-733	46	59	�	�	PROPN
cuesj-733	46	60	�	�	PROPN
cuesj-733	46	61	�	�	PROPN
cuesj-733	46	62	�	�	PROPN
cuesj-733	46	63	�	�	PROPN
cuesj-733	46	64	when	when	SCONJ
cuesj-733	46	65	assume	assume	VERB
cuesj-733	46	66	that	that	SCONJ
cuesj-733	46	67	τ	τ	PROPN
cuesj-733	46	68	=	=	PUNCT
cuesj-733	46	69	0	0	NUM
cuesj-733	46	70	in	in	ADP
cuesj-733	46	71	the	the	DET
cuesj-733	46	72	standard	standard	ADJ
cuesj-733	46	73	tobit	tobit	NOUN
cuesj-733	46	74	model	model	NOUN
cuesj-733	46	75	,	,	PUNCT
cuesj-733	46	76	data	datum	NOUN
cuesj-733	46	77	are	be	AUX
cuesj-733	46	78	censored	censor	VERB
cuesj-733	46	79	next	next	ADV
cuesj-733	46	80	to	to	ADP
cuesj-733	46	81	a	a	DET
cuesj-733	46	82	value	value	NOUN
cuesj-733	46	83	of	of	ADP
cuesj-733	46	84	0	0	NUM
cuesj-733	46	85	.	.	PUNCT
cuesj-733	47	1	for	for	ADP
cuesj-733	47	2	use	use	NOUN
cuesj-733	47	3	there	there	ADV
cuesj-733	47	4	is:[13	is:[13	NOUN
cuesj-733	47	5	]	]	X
cuesj-733	47	6	y	y	PROPN
cuesj-733	47	7	y	y	PROPN
cuesj-733	48	1	if	if	SCONJ
cuesj-733	48	2	y	y	PROPN
cuesj-733	48	3	if	if	SCONJ
cuesj-733	48	4	yi	yi	PROPN
cuesj-733	48	5	�	�	PROPN
cuesj-733	48	6	�	�	PROPN
cuesj-733	48	7	�	�	PROPN
cuesj-733	48	8	�	�	PROPN
cuesj-733	48	9	�	�	PROPN
cuesj-733	48	10	�	�	PROPN
cuesj-733	48	11	�	�	PROPN
cuesj-733	48	12	�	�	PROPN
cuesj-733	48	13	*	*	PUNCT
cuesj-733	48	14	*	*	PUNCT
cuesj-733	48	15	*	*	PUNCT
cuesj-733	48	16	�	�	PROPN
cuesj-733	48	17	�	�	PROPN
cuesj-733	48	18	�	�	PROPN
cuesj-733	48	19	�	�	PROPN
cuesj-733	48	20	�	�	PROPN
cuesj-733	48	21	�	�	PROPN
cuesj-733	48	22	�	�	PROPN
cuesj-733	48	23	�	�	PROPN
cuesj-733	48	24	�	�	PROPN
cuesj-733	48	25	�	�	PROPN
cuesj-733	48	26	�	�	PROPN
cuesj-733	48	27	�	�	PROPN
cuesj-733	48	28	�	�	PROPN
cuesj-733	48	29	�	�	PROPN
cuesj-733	48	30	�	�	PROPN
cuesj-733	48	31	�	�	PROPN
cuesj-733	48	32	�	�	PROPN
cuesj-733	48	33	�	�	PROPN
cuesj-733	48	34	�	�	PROPN
cuesj-733	48	35	�	�	PROPN
cuesj-733	48	36	�	�	PROPN
cuesj-733	48	37	�	�	PROPN
cuesj-733	48	38	�	�	PROPN
cuesj-733	48	39	�	�	PROPN
cuesj-733	48	40	�	�	PROPN
cuesj-733	48	41	�	�	PROPN
cuesj-733	48	42	0	0	NUM
cuesj-733	48	43	0	0	NUM
cuesj-733	48	44	0	0	PUNCT
cuesj-733	49	1	as	as	SCONJ
cuesj-733	49	2	it	it	PRON
cuesj-733	49	3	has	have	AUX
cuesj-733	49	4	been	be	AUX
cuesj-733	49	5	shown	show	VERB
cuesj-733	49	6	,	,	PUNCT
cuesj-733	49	7	the	the	DET
cuesj-733	49	8	probability	probability	NOUN
cuesj-733	49	9	function	function	NOUN
cuesj-733	49	10	is	be	AUX
cuesj-733	49	11	censored	censor	VERB
cuesj-733	49	12	l	l	PROPN
cuesj-733	49	13	y	y	PROPN
cuesj-733	49	14	µ	µ	PROPN
cuesj-733	49	15	i	i	PROPN
cuesj-733	49	16	n	n	CCONJ
cuesj-733	49	17	di	di	X
cuesj-733	49	18	di	di	X
cuesj-733	49	19	�	�	PROPN
cuesj-733	49	20	�	�	PROPN
cuesj-733	49	21	�	�	PROPN
cuesj-733	49	22	�	�	PROPN
cuesj-733	49	23	�	�	PROPN
cuesj-733	49	24	�	�	PROPN
cuesj-733	49	25	�	�	PROPN
cuesj-733	49	26	�	�	PROPN
cuesj-733	49	27	�	�	PROPN
cuesj-733	49	28	�	�	PROPN
cuesj-733	49	29	�	�	PROPN
cuesj-733	49	30	�	�	PROPN
cuesj-733	49	31	�	�	PROPN
cuesj-733	49	32	�	�	PROPN
cuesj-733	49	33	�	�	PROPN
cuesj-733	49	34	�	�	PROPN
cuesj-733	49	35	�	�	PROPN
cuesj-733	49	36	�	�	PROPN
cuesj-733	49	37	�	�	PROPN
cuesj-733	49	38	�	�	PROPN
cuesj-733	49	39	�	�	PROPN
cuesj-733	49	40	�	�	PROPN
cuesj-733	49	41	�	�	PROPN
cuesj-733	49	42	�	�	PROPN
cuesj-733	49	43	�	�	PROPN
cuesj-733	49	44	�	�	PROPN
cuesj-733	49	45	�	�	PROPN
cuesj-733	49	46	�	�	PROPN
cuesj-733	49	47	�	�	PROPN
cuesj-733	49	48	�	�	PROPN
cuesj-733	49	49	�	�	PROPN
cuesj-733	49	50	1	1	NUM
cuesj-733	49	51	1	1	NUM
cuesj-733	49	52	1	1	NUM
cuesj-733	49	53	�	�	PROPN
cuesj-733	49	54	�	�	PROPN
cuesj-733	49	55	�	�	PROPN
cuesj-733	49	56	�	�	PROPN
cuesj-733	49	57	�	�	PROPN
cuesj-733	49	58	�	�	PROPN
cuesj-733	49	59	in	in	ADP
cuesj-733	49	60	the	the	DET
cuesj-733	49	61	conventional	conventional	ADJ
cuesj-733	49	62	tobit	tobit	NOUN
cuesj-733	49	63	model	model	NOUN
cuesj-733	49	64	,	,	PUNCT
cuesj-733	49	65	one	one	NUM
cuesj-733	49	66	groups	group	NOUN
cuesj-733	49	67	τ	τ	X
cuesj-733	49	68	=	=	SYM
cuesj-733	49	69	0	0	PUNCT
cuesj-733	49	70	and	and	CCONJ
cuesj-733	49	71	parameterize	parameterize	VERB
cuesj-733	49	72	µ	µ	PRON
cuesj-733	49	73	as	as	ADP
cuesj-733	49	74	(	(	PUNCT
cuesj-733	49	75	xiβ	xiβ	PROPN
cuesj-733	49	76	)	)	PUNCT
cuesj-733	49	77	.	.	PUNCT
cuesj-733	50	1	that	that	PRON
cuesj-733	50	2	is	be	AUX
cuesj-733	50	3	tobit	tobit	PROPN
cuesj-733	50	4	model	model	PROPN
cuesj-733	50	5	’s	’s	PART
cuesj-733	50	6	likelihood	likelihood	NOUN
cuesj-733	50	7	function	function	NOUN
cuesj-733	50	8	:	:	PUNCT
cuesj-733	51	1	l	l	NOUN
cuesj-733	51	2	y	y	NOUN
cuesj-733	51	3	x	x	PUNCT
cuesj-733	51	4	x	x	VERB
cuesj-733	52	1	i	i	PRON
cuesj-733	52	2	n	n	VERB
cuesj-733	53	1	i	i	PRON
cuesj-733	53	2	i	i	PRON
cuesj-733	53	3	di	di	VERB
cuesj-733	53	4	i	i	PRON
cuesj-733	53	5	di	di	PROPN
cuesj-733	53	6	�	�	PROPN
cuesj-733	53	7	�	�	PROPN
cuesj-733	53	8	�	�	PROPN
cuesj-733	53	9	�	�	PROPN
cuesj-733	53	10	�	�	PROPN
cuesj-733	53	11	�	�	PROPN
cuesj-733	53	12	�	�	PROPN
cuesj-733	53	13	�	�	PROPN
cuesj-733	53	14	�	�	PROPN
cuesj-733	53	15	�	�	PROPN
cuesj-733	53	16	�	�	PROPN
cuesj-733	53	17	�	�	PROPN
cuesj-733	53	18	�	�	PROPN
cuesj-733	53	19	�	�	PROPN
cuesj-733	53	20	�	�	PROPN
cuesj-733	53	21	�	�	PROPN
cuesj-733	53	22	�	�	PROPN
cuesj-733	53	23	�	�	PROPN
cuesj-733	53	24	�	�	PROPN
cuesj-733	53	25	�	�	PROPN
cuesj-733	53	26	�	�	PROPN
cuesj-733	53	27	�	�	PROPN
cuesj-733	53	28	�	�	PROPN
cuesj-733	53	29	�	�	PROPN
cuesj-733	53	30	�	�	PROPN
cuesj-733	53	31	�	�	PROPN
cuesj-733	53	32	�	�	PROPN
cuesj-733	53	33	�	�	PROPN
cuesj-733	53	34	�	�	PROPN
cuesj-733	53	35	1	1	NUM
cuesj-733	53	36	1	1	NUM
cuesj-733	53	37	1	1	NUM
cuesj-733	53	38	�	�	PROPN
cuesj-733	53	39	�	�	PROPN
cuesj-733	53	40	�	�	PROPN
cuesj-733	53	41	�	�	PROPN
cuesj-733	53	42	�	�	PROPN
cuesj-733	53	43	�	�	PROPN
cuesj-733	54	1	the	the	DET
cuesj-733	54	2	tobit	tobit	PROPN
cuesj-733	54	3	model	model	PROPN
cuesj-733	54	4	’s	’s	PART
cuesj-733	54	5	log	log	NOUN
cuesj-733	54	6	likelihood	likelihood	NOUN
cuesj-733	54	7	function	function	NOUN
cuesj-733	54	8	is	be	AUX
cuesj-733	54	9	ln	ln	PROPN
cuesj-733	54	10	ln	ln	ADJ
cuesj-733	54	11	l	l	NOUN
cuesj-733	55	1	d	d	X
cuesj-733	55	2	y	y	PROPN
cuesj-733	55	3	x	x	PROPN
cuesj-733	55	4	d	d	NOUN
cuesj-733	55	5	xi	xi	ADP
cuesj-733	55	6	n	n	PROPN
cuesj-733	56	1	i	i	PRON
cuesj-733	56	2	i	i	PRON
cuesj-733	57	1	i	i	PRON
cuesj-733	58	1	i	i	PRON
cuesj-733	59	1	i	i	PRON
cuesj-733	59	2	�	�	PROPN
cuesj-733	59	3	�	�	PROPN
cuesj-733	59	4	�	�	PROPN
cuesj-733	59	5	�	�	PROPN
cuesj-733	59	6	�	�	PROPN
cuesj-733	59	7	�	�	PROPN
cuesj-733	59	8	�	�	PROPN
cuesj-733	59	9	�	�	PROPN
cuesj-733	59	10	�	�	PROPN
cuesj-733	59	11	�	�	PROPN
cuesj-733	59	12	�	�	PROPN
cuesj-733	59	13	�	�	PROPN
cuesj-733	59	14	�	�	PROPN
cuesj-733	59	15	�	�	PROPN
cuesj-733	59	16	�	�	PROPN
cuesj-733	59	17	�	�	PROPN
cuesj-733	59	18	�	�	PROPN
cuesj-733	59	19	�	�	PROPN
cuesj-733	59	20	�	�	PROPN
cuesj-733	59	21	�	�	PROPN
cuesj-733	59	22	�	�	PROPN
cuesj-733	59	23	�	�	PROPN
cuesj-733	59	24	�	�	PROPN
cuesj-733	59	25	�	�	PROPN
cuesj-733	59	26	�	�	PROPN
cuesj-733	59	27	�	�	PROPN
cuesj-733	59	28	�	�	PROPN
cuesj-733	59	29	1	1	NUM
cuesj-733	59	30	1	1	NUM
cuesj-733	59	31	1	1	NUM
cuesj-733	59	32	ln	ln	PROPN
cuesj-733	59	33	ln	ln	PROPN
cuesj-733	59	34	�	�	PROPN
cuesj-733	59	35	�	�	PROPN
cuesj-733	59	36	�	�	PROPN
cuesj-733	59	37	�	�	PROPN
cuesj-733	59	38	�	�	PROPN
cuesj-733	59	39	�	�	PROPN
cuesj-733	59	40	�	�	PROPN
cuesj-733	59	41	�	�	PROPN
cuesj-733	59	42	�	�	PROPN
cuesj-733	59	43	�	�	PROPN
cuesj-733	59	44	�	�	PROPN
cuesj-733	59	45	�	�	PROPN
cuesj-733	59	46	�	�	PROPN
cuesj-733	59	47	�	�	PROPN
cuesj-733	59	48	�	�	PROPN
cuesj-733	59	49	�	�	PROPN
cuesj-733	59	50	�	�	PROPN
cuesj-733	59	51	�	�	PROPN
cuesj-733	59	52	�	�	PROPN
cuesj-733	59	53	�	�	PROPN
cuesj-733	59	54	the	the	DET
cuesj-733	59	55	overall	overall	ADJ
cuesj-733	59	56	log	log	NOUN
cuesj-733	59	57	,	,	PUNCT
cuesj-733	59	58	likelihood	likelihood	NOUN
cuesj-733	59	59	is	be	AUX
cuesj-733	59	60	split	split	VERB
cuesj-733	59	61	into	into	ADP
cuesj-733	59	62	two	two	NUM
cuesj-733	59	63	components	component	NOUN
cuesj-733	59	64	.	.	PUNCT
cuesj-733	60	1	the	the	DET
cuesj-733	60	2	first	first	ADJ
cuesj-733	60	3	component	component	NOUN
cuesj-733	60	4	corresponds	correspond	VERB
cuesj-733	60	5	to	to	ADP
cuesj-733	60	6	a	a	DET
cuesj-733	60	7	traditional	traditional	ADJ
cuesj-733	60	8	regression	regression	NOUN
cuesj-733	60	9	for	for	ADP
cuesj-733	60	10	an	an	DET
cuesj-733	60	11	uncensored	uncensored	ADJ
cuesj-733	60	12	observation	observation	NOUN
cuesj-733	60	13	,	,	PUNCT
cuesj-733	60	14	while	while	SCONJ
cuesj-733	60	15	the	the	DET
cuesj-733	60	16	,	,	PUNCT
cuesj-733	60	17	second	second	ADJ
cuesj-733	60	18	component	component	NOUN
cuesj-733	60	19	represents	represent	VERB
cuesj-733	60	20	the	the	DET
cuesj-733	60	21	associated	associated	ADJ
cuesj-733	60	22	likelihood	likelihood	NOUN
cuesj-733	60	23	of	of	ADP
cuesj-733	60	24	censoring	censor	VERB
cuesj-733	60	25	the	the	DET
cuesj-733	60	26	test.[14	test.[14	PROPN
cuesj-733	60	27	]	]	PUNCT
cuesj-733	60	28	standard	standard	ADJ
cuesj-733	60	29	tobit	tobit	NOUN
cuesj-733	60	30	model	model	NOUN
cuesj-733	60	31	censored	censor	VERB
cuesj-733	60	32	regression	regression	NOUN
cuesj-733	60	33	method	method	NOUN
cuesj-733	60	34	has	have	AUX
cuesj-733	60	35	been	be	AUX
cuesj-733	60	36	very	very	ADV
cuesj-733	60	37	widespread	widespread	ADJ
cuesj-733	60	38	as	as	ADP
cuesj-733	60	39	a	a	DET
cuesj-733	60	40	standard	standard	ADJ
cuesj-733	60	41	tobit	tobit	NOUN
cuesj-733	60	42	model	model	NOUN
cuesj-733	60	43	since	since	SCONJ
cuesj-733	60	44	tobin	tobin	PROPN
cuesj-733	60	45	(	(	PUNCT
cuesj-733	60	46	1958	1958	NUM
cuesj-733	60	47	)	)	PUNCT
cuesj-733	60	48	first	first	ADV
cuesj-733	60	49	presented	present	VERB
cuesj-733	60	50	it	it	PRON
cuesj-733	60	51	to	to	PART
cuesj-733	60	52	evaluate	evaluate	VERB
cuesj-733	60	53	the	the	DET
cuesj-733	60	54	relationship	relationship	NOUN
cuesj-733	60	55	between	between	ADP
cuesj-733	60	56	household	household	NOUN
cuesj-733	60	57	expenditure	expenditure	NOUN
cuesj-733	60	58	and	and	CCONJ
cuesj-733	60	59	household	household	NOUN
cuesj-733	60	60	income	income	NOUN
cuesj-733	60	61	.	.	PUNCT
cuesj-733	61	1	y	y	PROPN
cuesj-733	61	2	i	i	PRON
cuesj-733	61	3	n	n	CCONJ
cuesj-733	61	4	'	'	PROPN
cuesj-733	61	5	*	*	PUNCT
cuesj-733	61	6	�	�	PROPN
cuesj-733	61	7	�	�	PROPN
cuesj-733	61	8	�	�	PROPN
cuesj-733	61	9	�	�	PROPN
cuesj-733	61	10	�	�	PROPN
cuesj-733	61	11	,	,	PUNCT
cuesj-733	61	12	,	,	PUNCT
cuesj-733	61	13	.	.	PUNCT
cuesj-733	62	1	�	�	PROPN
cuesj-733	62	2	�	�	PROPN
cuesj-733	62	3	�	�	PROPN
cuesj-733	62	4	�	�	PROPN
cuesj-733	62	5	x	x	PROPN
cuesj-733	62	6	ui	ui	PROPN
cuesj-733	63	1	i	i	PRON
cuesj-733	63	2	�	�	PROPN
cuesj-733	63	3	1	1	NUM
cuesj-733	63	4	2	2	NUM
cuesj-733	63	5	y	y	PROPN
cuesj-733	63	6	�	�	PROPN
cuesj-733	63	7	y	y	PROPN
cuesj-733	63	8	�	�	PROPN
cuesj-733	63	9	�	�	PROPN
cuesj-733	63	10	�	�	PROPN
cuesj-733	63	11	�	�	PROPN
cuesj-733	63	12	�	�	PROPN
cuesj-733	63	13	�	�	PROPN
cuesj-733	63	14	if	if	SCONJ
cuesj-733	63	15	�	�	PROPN
cuesj-733	63	16	�	�	PROPN
cuesj-733	63	17	�	�	PROPN
cuesj-733	63	18	�	�	PROPN
cuesj-733	63	19	�	�	PROPN
cuesj-733	63	20	�	�	PROPN
cuesj-733	63	21	�	�	PROPN
cuesj-733	63	22	�	�	PROPN
cuesj-733	63	23	y	y	PROPN
cuesj-733	63	24	�	�	PROPN
cuesj-733	63	25	n	n	CCONJ
cuesj-733	63	26	�	�	PROPN
cuesj-733	63	27	�	�	PROPN
cuesj-733	63	28	*	*	PROPN
cuesj-733	63	29	*	*	PUNCT
cuesj-733	63	30	y	y	PROPN
cuesj-733	63	31	�	�	PROPN
cuesj-733	63	32	�	�	PROPN
cuesj-733	63	33	if	if	SCONJ
cuesj-733	63	34	�	�	PROPN
cuesj-733	63	35	�	�	PROPN
cuesj-733	63	36	�	�	PROPN
cuesj-733	63	37	�	�	PROPN
cuesj-733	63	38	�	�	PROPN
cuesj-733	63	39	�	�	PROPN
cuesj-733	63	40	�	�	PROPN
cuesj-733	63	41	y	y	PROPN
cuesj-733	63	42	n	n	CCONJ
cuesj-733	63	43	�	�	PROPN
cuesj-733	63	44	�	�	PROPN
cuesj-733	63	45	0	0	NUM
cuesj-733	63	46	�	�	PROPN
cuesj-733	63	47	�	�	PROPN
cuesj-733	63	48	�	�	PROPN
cuesj-733	63	49	�	�	PROPN
cuesj-733	63	50	�	�	PROPN
cuesj-733	63	51	�	�	PROPN
cuesj-733	63	52	�	�	PROPN
cuesj-733	63	53	�	�	PROPN
cuesj-733	63	54	�	�	PROPN
cuesj-733	63	55	*	*	PUNCT
cuesj-733	63	56	where	where	SCONJ
cuesj-733	63	57	,	,	PUNCT
cuesj-733	63	58	ui	ui	PROPN
cuesj-733	63	59	is	be	AUX
cuesj-733	63	60	identical	identical	ADJ
cuesj-733	63	61	independent	independent	ADJ
cuesj-733	63	62	distribution	distribution	NOUN
cuesj-733	63	63	(	(	PUNCT
cuesj-733	63	64	iid	iid	NOUN
cuesj-733	63	65	)	)	PUNCT
cuesj-733	63	66	.	.	PUNCT
cuesj-733	64	1	drawings	drawing	NOUN
cuesj-733	64	2	from	from	ADP
cuesj-733	64	3	n(0	n(0	PROPN
cuesj-733	64	4	,	,	PUNCT
cuesj-733	64	5	σu	σu	NOUN
cuesj-733	64	6	)	)	PUNCT
cuesj-733	64	7	.	.	PUNCT
cuesj-733	65	1	yi	yi	PROPN
cuesj-733	65	2	and	and	CCONJ
cuesj-733	65	3	xi	xi	PROPN
cuesj-733	65	4	are	be	AUX
cuesj-733	65	5	observed	observe	VERB
cuesj-733	65	6	in	in	ADP
cuesj-733	65	7	the	the	DET
cuesj-733	65	8	sample	sample	NOUN
cuesj-733	65	9	,	,	PUNCT
cuesj-733	65	10	but	but	CCONJ
cuesj-733	65	11	the	the	DET
cuesj-733	65	12	yi	yi	NOUN
cuesj-733	65	13	*	*	PUNCT
cuesj-733	65	14	is	be	AUX
cuesj-733	65	15	unobserved	unobserved	ADJ
cuesj-733	65	16	if	if	SCONJ
cuesj-733	65	17	�	�	PROPN
cuesj-733	65	18	*	*	PUNCT
cuesj-733	65	19	y	y	PROPN
cuesj-733	65	20	i2	i2	PROPN
cuesj-733	65	21	<	<	X
cuesj-733	65	22	0	0	NUM
cuesj-733	65	23	.	.	PUNCT
cuesj-733	66	1	the	the	DET
cuesj-733	66	2	likelihood	likelihood	NOUN
cuesj-733	66	3	function	function	NOUN
cuesj-733	66	4	for	for	ADP
cuesj-733	66	5	this	this	DET
cuesj-733	66	6	model	model	NOUN
cuesj-733	66	7	is:[12	is:[12	NOUN
cuesj-733	66	8	]	]	PUNCT
cuesj-733	66	9	meran	meran	ADJ
cuesj-733	66	10	and	and	CCONJ
cuesj-733	66	11	sedeeq	sedeeq	NOUN
cuesj-733	66	12	:	:	PUNCT
cuesj-733	66	13	tobit	tobit	NOUN
cuesj-733	66	14	and	and	CCONJ
cuesj-733	66	15	logistic	logistic	ADJ
cuesj-733	66	16	regression	regression	NOUN
cuesj-733	66	17	models	model	NOUN
cuesj-733	66	18	135	135	NUM
cuesj-733	66	19	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	66	20	cuesj	cuesj	ADJ
cuesj-733	66	21	2022	2022	NUM
cuesj-733	66	22	,	,	PUNCT
cuesj-733	66	23	6	6	NUM
cuesj-733	66	24	(	(	PUNCT
cuesj-733	66	25	2	2	NUM
cuesj-733	66	26	):	):	PUNCT
cuesj-733	66	27	133	133	NUM
cuesj-733	66	28	-	-	SYM
cuesj-733	66	29	140	140	NUM
cuesj-733	66	30	l	l	NOUN
cuesj-733	66	31	x	x	X
cuesj-733	66	32	y	y	NOUN
cuesj-733	66	33	xi	xi	INTJ
cuesj-733	67	1	i	i	PRON
cuesj-733	68	1	i	i	PROPN
cuesj-733	68	2	�	�	PROPN
cuesj-733	68	3	�	�	PROPN
cuesj-733	68	4	�	�	PROPN
cuesj-733	68	5	�	�	PROPN
cuesj-733	68	6	�	�	PROPN
cuesj-733	68	7	�	�	PROPN
cuesj-733	68	8	�	�	PROPN
cuesj-733	68	9	�	�	PROPN
cuesj-733	68	10	�	�	PROPN
cuesj-733	68	11	�	�	PROPN
cuesj-733	68	12	�	�	PROPN
cuesj-733	68	13	�	�	PROPN
cuesj-733	68	14	�	�	PROPN
cuesj-733	68	15	�	�	PROPN
cuesj-733	68	16	�	�	PROPN
cuesj-733	68	17	�	�	PROPN
cuesj-733	68	18	�	�	PROPN
cuesj-733	68	19	�	�	PROPN
cuesj-733	68	20	�	�	PROPN
cuesj-733	68	21	�	�	PROPN
cuesj-733	68	22	�	�	PROPN
cuesj-733	68	23	�	�	PROPN
cuesj-733	68	24	�	�	PROPN
cuesj-733	68	25	0	0	NUM
cuesj-733	68	26	1	1	NUM
cuesj-733	68	27	1	1	NUM
cuesj-733	68	28	1	1	NUM
cuesj-733	68	29	�	�	PROPN
cuesj-733	68	30	�	�	PROPN
cuesj-733	68	31	'	'	PART
cuesj-733	68	32	'	'	PUNCT
cuesj-733	68	33	�	�	PROPN
cuesj-733	68	34	�	�	PROPN
cuesj-733	68	35	�	�	PROPN
cuesj-733	68	36	�	�	PROPN
cuesj-733	68	37	�	�	PROPN
cuesj-733	68	38	censoring	censor	VERB
cuesj-733	68	39	a	a	DET
cuesj-733	68	40	regression	regression	NOUN
cuesj-733	68	41	,	,	PUNCT
cuesj-733	68	42	model	model	NOUN
cuesj-733	68	43	is	be	AUX
cuesj-733	68	44	said	say	VERB
cuesj-733	68	45	to	to	PART
cuesj-733	68	46	be	be	AUX
cuesj-733	68	47	-	-	PUNCT
cuesj-733	68	48	censored	censored	ADJ
cuesj-733	68	49	when	when	SCONJ
cuesj-733	68	50	the	the	DET
cuesj-733	68	51	recorded	record	VERB
cuesj-733	68	52	,	,	PUNCT
cuesj-733	68	53	data	datum	NOUN
cuesj-733	68	54	on	on	ADP
cuesj-733	68	55	the	the	DET
cuesj-733	68	56	dependent	dependent	ADJ
cuesj-733	68	57	variable	variable	NOUN
cuesj-733	68	58	(	(	PUNCT
cuesj-733	68	59	the	the	DET
cuesj-733	68	60	response	response	NOUN
cuesj-733	68	61	)	)	PUNCT
cuesj-733	68	62	cutoff	cutoff	NOUN
cuesj-733	68	63	outside	outside	ADP
cuesj-733	68	64	a	a	DET
cuesj-733	68	65	certain	certain	ADJ
cuesj-733	68	66	-	-	PUNCT
cuesj-733	68	67	range	range	NOUN
cuesj-733	68	68	with	with	ADP
cuesj-733	68	69	multiple	multiple	ADJ
cuesj-733	68	70	observations	observation	NOUN
cuesj-733	68	71	at	at	ADP
cuesj-733	68	72	the	the	DET
cuesj-733	68	73	-	-	PUNCT
cuesj-733	68	74	endpoints	endpoint	NOUN
cuesj-733	68	75	of	of	ADP
cuesj-733	68	76	that	that	DET
cuesj-733	68	77	range	range	NOUN
cuesj-733	68	78	.	.	PUNCT
cuesj-733	69	1	when	when	SCONJ
cuesj-733	69	2	the	the	DET
cuesj-733	69	3	data	datum	NOUN
cuesj-733	69	4	are	be	AUX
cuesj-733	69	5	censored	censor	VERB
cuesj-733	69	6	,	,	PUNCT
cuesj-733	69	7	variation	variation	NOUN
cuesj-733	69	8	in	in	ADP
cuesj-733	69	9	the	the	DET
cuesj-733	69	10	observed	observe	VERB
cuesj-733	69	11	dependent	dependent	ADJ
cuesj-733	69	12	variable	variable	NOUN
cuesj-733	69	13	will	will	AUX
cuesj-733	69	14	underestimate	underestimate	VERB
cuesj-733	69	15	the	the	DET
cuesj-733	69	16	impact	impact	NOUN
cuesj-733	69	17	of	of	ADP
cuesj-733	69	18	the	the	DET
cuesj-733	69	19	regression	regression	NOUN
cuesj-733	69	20	on	on	ADP
cuesj-733	69	21	the	the	DET
cuesj-733	69	22	actual	actual	ADJ
cuesj-733	69	23	dependent	dependent	ADJ
cuesj-733	69	24	variable	variable	NOUN
cuesj-733	69	25	.	.	PUNCT
cuesj-733	70	1	as	as	ADP
cuesj-733	70	2	a	a	DET
cuesj-733	70	3	result	result	NOUN
cuesj-733	70	4	,	,	PUNCT
cuesj-733	70	5	coefficient	coefficient	NOUN
cuesj-733	70	6	estimates	estimate	NOUN
cuesj-733	70	7	from	from	ADP
cuesj-733	70	8	standard	standard	ADJ
cuesj-733	70	9	ordinary	ordinary	ADJ
cuesj-733	70	10	least	least	ADJ
cuesj-733	70	11	squares	square	NOUN
cuesj-733	70	12	regression	regression	NOUN
cuesj-733	70	13	employing	employ	VERB
cuesj-733	70	14	censored	censored	ADJ
cuesj-733	70	15	data	datum	NOUN
cuesj-733	70	16	are	be	AUX
cuesj-733	70	17	often	often	ADV
cuesj-733	70	18	biased	bias	VERB
cuesj-733	70	19	toward	toward	ADP
cuesj-733	70	20	zero.[15	zero.[15	PROPN
cuesj-733	70	21	]	]	PUNCT
cuesj-733	70	22	truncation	truncation	NOUN
cuesj-733	70	23	truncated	truncate	VERB
cuesj-733	70	24	data	datum	NOUN
cuesj-733	70	25	,	,	PUNCT
cuesj-733	70	26	or	or	CCONJ
cuesj-733	70	27	missing	miss	VERB
cuesj-733	70	28	data	datum	NOUN
cuesj-733	70	29	,	,	PUNCT
cuesj-733	70	30	are	be	AUX
cuesj-733	70	31	discovered	discover	VERB
cuesj-733	70	32	when	when	SCONJ
cuesj-733	70	33	an	an	DET
cuesj-733	70	34	observation	observation	NOUN
cuesj-733	70	35	is	be	AUX
cuesj-733	70	36	not	not	PART
cuesj-733	70	37	reported	report	VERB
cuesj-733	70	38	despite	despite	SCONJ
cuesj-733	70	39	of	of	ADP
cuesj-733	70	40	whether	whether	SCONJ
cuesj-733	70	41	it	it	PRON
cuesj-733	70	42	is	be	AUX
cuesj-733	70	43	below	below	ADP
cuesj-733	70	44	or	or	CCONJ
cuesj-733	70	45	above	above	ADP
cuesj-733	70	46	a	a	DET
cuesj-733	70	47	specific	specific	ADJ
cuesj-733	70	48	level	level	NOUN
cuesj-733	70	49	that	that	PRON
cuesj-733	70	50	differs	differ	VERB
cuesj-733	70	51	.	.	PUNCT
cuesj-733	71	1	in	in	ADP
cuesj-733	71	2	actuality	actuality	NOUN
cuesj-733	71	3	,	,	PUNCT
cuesj-733	71	4	these	these	PRON
cuesj-733	71	5	are	be	AUX
cuesj-733	71	6	known	know	VERB
cuesj-733	71	7	as	as	ADP
cuesj-733	71	8	left	left	ADJ
cuesj-733	71	9	and	and	CCONJ
cuesj-733	71	10	right	right	ADJ
cuesj-733	71	11	truncation	truncation	NOUN
cuesj-733	71	12	,	,	PUNCT
cuesj-733	71	13	respectively	respectively	ADV
cuesj-733	71	14	.	.	PUNCT
cuesj-733	72	1	the	the	DET
cuesj-733	72	2	truncation	truncation	NOUN
cuesj-733	72	3	effect	effect	NOUN
cuesj-733	72	4	can	can	AUX
cuesj-733	72	5	also	also	ADV
cuesj-733	72	6	happen	happen	VERB
cuesj-733	72	7	when	when	SCONJ
cuesj-733	72	8	only	only	ADV
cuesj-733	72	9	a	a	DET
cuesj-733	72	10	small	small	ADJ
cuesj-733	72	11	portion	portion	NOUN
cuesj-733	72	12	of	of	ADP
cuesj-733	72	13	a	a	DET
cuesj-733	72	14	larger	large	ADJ
cuesj-733	72	15	population	population	NOUN
cuesj-733	72	16	is	be	AUX
cuesj-733	72	17	represented	represent	VERB
cuesj-733	72	18	in	in	ADP
cuesj-733	72	19	the	the	DET
cuesj-733	72	20	sample	sample	NOUN
cuesj-733	72	21	data	datum	NOUN
cuesj-733	72	22	.	.	PUNCT
cuesj-733	73	1	in	in	ADP
cuesj-733	73	2	addition	addition	NOUN
cuesj-733	73	3	,	,	PUNCT
cuesj-733	73	4	the	the	DET
cuesj-733	73	5	response	response	NOUN
cuesj-733	73	6	variable	variable	NOUN
cuesj-733	73	7	in	in	ADP
cuesj-733	73	8	the	the	DET
cuesj-733	73	9	model	model	NOUN
cuesj-733	73	10	is	be	AUX
cuesj-733	73	11	truncated	truncate	VERB
cuesj-733	73	12	if	if	SCONJ
cuesj-733	73	13	observations	observation	NOUN
cuesj-733	73	14	are	be	AUX
cuesj-733	73	15	not	not	PART
cuesj-733	73	16	possible	possible	ADJ
cuesj-733	73	17	while	while	SCONJ
cuesj-733	73	18	taking	take	VERB
cuesj-733	73	19	values	value	NOUN
cuesj-733	73	20	inside	inside	ADP
cuesj-733	73	21	a	a	DET
cuesj-733	73	22	particular	particular	ADJ
cuesj-733	73	23	range	range	NOUN
cuesj-733	73	24	.	.	PUNCT
cuesj-733	74	1	consequently	consequently	ADV
cuesj-733	74	2	,	,	PUNCT
cuesj-733	74	3	when	when	SCONJ
cuesj-733	74	4	the	the	DET
cuesj-733	74	5	dependent	dependent	ADJ
cuesj-733	74	6	variable	variable	NOUN
cuesj-733	74	7	is	be	AUX
cuesj-733	74	8	within	within	ADP
cuesj-733	74	9	that	that	DET
cuesj-733	74	10	range	range	NOUN
cuesj-733	74	11	,	,	PUNCT
cuesj-733	74	12	neither	neither	CCONJ
cuesj-733	74	13	the	the	DET
cuesj-733	74	14	dependent	dependent	ADJ
cuesj-733	74	15	nor	nor	CCONJ
cuesj-733	74	16	the	the	DET
cuesj-733	74	17	independent	independent	ADJ
cuesj-733	74	18	variables	variable	NOUN
cuesj-733	74	19	are	be	AUX
cuesj-733	74	20	observed.[2	observed.[2	NOUN
cuesj-733	74	21	]	]	X
cuesj-733	74	22	logistic	logistic	ADJ
cuesj-733	74	23	regression	regression	NOUN
cuesj-733	74	24	model	model	NOUN
cuesj-733	74	25	what	what	PRON
cuesj-733	74	26	distinguishes	distinguish	VERB
cuesj-733	74	27	a	a	DET
cuesj-733	74	28	logistic	logistic	ADJ
cuesj-733	74	29	regression	regression	NOUN
cuesj-733	74	30	model	model	NOUN
cuesj-733	74	31	from	from	ADP
cuesj-733	74	32	the	the	DET
cuesj-733	74	33	,	,	PUNCT
cuesj-733	74	34	linear	linear	ADJ
cuesj-733	74	35	regression	regression	NOUN
cuesj-733	74	36	model	model	NOUN
cuesj-733	74	37	,	,	PUNCT
cuesj-733	74	38	in	in	ADP
cuesj-733	74	39	logistic	logistic	ADJ
cuesj-733	74	40	regression	regression	NOUN
cuesj-733	74	41	,	,	PUNCT
cuesj-733	74	42	could	could	AUX
cuesj-733	74	43	be	be	AUX
cuesj-733	74	44	the	the	DET
cuesj-733	74	45	result	result	NOUN
cuesj-733	74	46	variable	variable	NOUN
cuesj-733	74	47	which	which	PRON
cuesj-733	74	48	is	be	AUX
cuesj-733	74	49	either	either	CCONJ
cuesj-733	74	50	binary	binary	ADJ
cuesj-733	74	51	or	or	CCONJ
cuesj-733	74	52	,	,	PUNCT
cuesj-733	74	53	dichotomous	dichotomous	ADJ
cuesj-733	74	54	.	.	PUNCT
cuesj-733	75	1	this	this	DET
cuesj-733	75	2	difference	difference	NOUN
cuesj-733	75	3	among	among	ADP
cuesj-733	75	4	logistic	logistic	ADJ
cuesj-733	75	5	and	and	CCONJ
cuesj-733	75	6	linear	linear	ADJ
cuesj-733	75	7	regression	regression	NOUN
cuesj-733	75	8	is	be	AUX
cuesj-733	75	9	reflected	reflect	VERB
cuesj-733	75	10	both	both	PRON
cuesj-733	75	11	in	in	ADP
cuesj-733	75	12	the	the	DET
cuesj-733	75	13	choice	choice	NOUN
cuesj-733	75	14	of	of	ADP
cuesj-733	75	15	a	a	DET
cuesj-733	75	16	parametric	parametric	ADJ
cuesj-733	75	17	model	model	NOUN
cuesj-733	75	18	and	and	CCONJ
cuesj-733	75	19	it	it	PRON
cuesj-733	75	20	assumptions	assumption	VERB
cuesj-733	75	21	,	,	PUNCT
cuesj-733	75	22	whereas	whereas	SCONJ
cuesj-733	75	23	the	the	DET
cuesj-733	75	24	methods	method	NOUN
cuesj-733	75	25	used	use	VERB
cuesj-733	75	26	in	in	ADP
cuesj-733	75	27	a	a	DET
cuesj-733	75	28	logistic	logistic	NOUN
cuesj-733	75	29	,	,	PUNCT
cuesj-733	75	30	regression	regression	NOUN
cuesj-733	75	31	study	study	NOUN
cuesj-733	75	32	follow	follow	VERB
cuesj-733	75	33	the	the	DET
cuesj-733	75	34	same	same	ADJ
cuesj-733	75	35	fundamental	fundamental	ADJ
cuesj-733	75	36	principles	principle	NOUN
cuesj-733	75	37	,	,	PUNCT
cuesj-733	75	38	as	as	SCONJ
cuesj-733	75	39	linear	linear	ADJ
cuesj-733	75	40	regression.[16,17	regression.[16,17	NOUN
cuesj-733	75	41	]	]	PUNCT
cuesj-733	75	42	logistic	logistic	ADJ
cuesj-733	75	43	regression	regression	NOUN
cuesj-733	75	44	model	model	NOUN
cuesj-733	75	45	circuitously	circuitously	ADV
cuesj-733	75	46	models	model	VERB
cuesj-733	75	47	the	the	DET
cuesj-733	75	48	response	response	NOUN
cuesj-733	75	49	variable	variable	NOUN
cuesj-733	75	50	created	create	VERB
cuesj-733	75	51	on	on	ADP
cuesj-733	75	52	probabilities	probability	NOUN
cuesj-733	75	53	linked	link	VERB
cuesj-733	75	54	with	with	ADP
cuesj-733	75	55	the	the	DET
cuesj-733	75	56	digits	digit	NOUN
cuesj-733	75	57	of	of	ADP
cuesj-733	75	58	the	the	DET
cuesj-733	75	59	dependent	dependent	ADJ
cuesj-733	75	60	variable	variable	ADJ
cuesj-733	75	61	y.	y.	NOUN
cuesj-733	75	62	we	we	PRON
cuesj-733	75	63	will	will	AUX
cuesj-733	75	64	use	use	VERB
cuesj-733	75	65	p(x	p(x	NOUN
cuesj-733	75	66	)	)	PUNCT
cuesj-733	75	67	to	to	PART
cuesj-733	75	68	represent	represent	VERB
cuesj-733	75	69	the	the	DET
cuesj-733	75	70	possibility	possibility	NOUN
cuesj-733	75	71	of	of	ADP
cuesj-733	75	72	a	a	DET
cuesj-733	75	73	response	response	NOUN
cuesj-733	75	74	when	when	SCONJ
cuesj-733	75	75	y	y	PROPN
cuesj-733	75	76	=	=	SYM
cuesj-733	75	77	1	1	X
cuesj-733	75	78	.	.	PUNCT
cuesj-733	76	1	furthermore	furthermore	ADV
cuesj-733	76	2	,	,	PUNCT
cuesj-733	76	3	we	we	PRON
cuesj-733	76	4	will	will	AUX
cuesj-733	76	5	define	define	VERB
cuesj-733	76	6	,	,	PUNCT
cuesj-733	76	7	1	1	NUM
cuesj-733	76	8	–	–	PUNCT
cuesj-733	76	9	p(x	p(x	PROPN
cuesj-733	76	10	)	)	PUNCT
cuesj-733	76	11	which	which	PRON
cuesj-733	76	12	represents	represent	VERB
cuesj-733	76	13	the	the	DET
cuesj-733	76	14	possibility	possibility	NOUN
cuesj-733	76	15	of	of	ADP
cuesj-733	76	16	a	a	DET
cuesj-733	76	17	response	response	NOUN
cuesj-733	76	18	when	when	SCONJ
cuesj-733	76	19	y	y	PROPN
cuesj-733	76	20	=	=	NOUN
cuesj-733	76	21	0	0	PROPN
cuesj-733	76	22	.	.	PUNCT
cuesj-733	77	1	these	these	DET
cuesj-733	77	2	probabilities	probability	NOUN
cuesj-733	77	3	are	be	AUX
cuesj-733	77	4	written	write	VERB
cuesj-733	77	5	as	as	SCONJ
cuesj-733	77	6	follows	follow	VERB
cuesj-733	77	7	:	:	PUNCT
cuesj-733	77	8	p	p	X
cuesj-733	77	9	x	x	X
cuesj-733	77	10	p	p	X
cuesj-733	77	11	y	y	PROPN
cuesj-733	77	12	x	x	PROPN
cuesj-733	77	13	x	x	PROPN
cuesj-733	77	14	xk	xk	PROPN
cuesj-733	77	15	�	�	PROPN
cuesj-733	77	16	�	�	PROPN
cuesj-733	77	17	�	�	PROPN
cuesj-733	77	18	�	�	PROPN
cuesj-733	77	19	�	�	PROPN
cuesj-733	77	20	�	�	PROPN
cuesj-733	77	21	�	�	PROPN
cuesj-733	77	22	1	1	NUM
cuesj-733	77	23	1	1	NUM
cuesj-733	77	24	2|	2|	NUM
cuesj-733	77	25	,	,	PUNCT
cuesj-733	77	26	,	,	PUNCT
cuesj-733	77	27	1	1	NUM
cuesj-733	77	28	0	0	NUM
cuesj-733	77	29	1	1	NUM
cuesj-733	77	30	2	2	NUM
cuesj-733	77	31	�	�	PROPN
cuesj-733	77	32	�	�	PROPN
cuesj-733	77	33	�	�	PROPN
cuesj-733	77	34	�	�	PROPN
cuesj-733	77	35	�	�	PROPN
cuesj-733	77	36	�	�	PROPN
cuesj-733	77	37	�	�	PROPN
cuesj-733	77	38	�	�	PROPN
cuesj-733	77	39	p	p	NOUN
cuesj-733	77	40	x	x	X
cuesj-733	77	41	p	p	X
cuesj-733	77	42	y	y	PROPN
cuesj-733	77	43	x	x	PROPN
cuesj-733	77	44	x	x	PROPN
cuesj-733	77	45	xk|	xk|	PROPN
cuesj-733	77	46	,	,	PUNCT
cuesj-733	77	47	,	,	PUNCT
cuesj-733	77	48	the	the	DET
cuesj-733	77	49	logistic	logistic	ADJ
cuesj-733	77	50	regression	regression	NOUN
cuesj-733	77	51	equation	equation	NOUN
cuesj-733	77	52	and	and	CCONJ
cuesj-733	77	53	the	the	DET
cuesj-733	77	54	regression	regression	NOUN
cuesj-733	77	55	equation	equation	NOUN
cuesj-733	77	56	with	with	ADP
cuesj-733	77	57	a	a	DET
cuesj-733	77	58	straight	straight	ADJ
cuesj-733	77	59	line	line	NOUN
cuesj-733	77	60	,	,	PUNCT
cuesj-733	77	61	equation	equation	NOUN
cuesj-733	77	62	(	(	PUNCT
cuesj-733	77	63	y	y	NOUN
cuesj-733	77	64	x	x	PROPN
cuesj-733	77	65	x	x	PROPN
cuesj-733	77	66	xk	xk	PROPN
cuesj-733	77	67	k	k	PROPN
cuesj-733	77	68	�	�	PROPN
cuesj-733	77	69	�	�	PROPN
cuesj-733	77	70	�	�	PROPN
cuesj-733	77	71	�	�	PROPN
cuesj-733	77	72	�	�	PROPN
cuesj-733	77	73	�	�	PROPN
cuesj-733	77	74	�	�	PROPN
cuesj-733	77	75	�	�	PROPN
cuesj-733	77	76	�	�	PROPN
cuesj-733	77	77	�	�	PROPN
cuesj-733	77	78	1	1	NUM
cuesj-733	77	79	1	1	NUM
cuesj-733	77	80	2	2	NUM
cuesj-733	77	81	2	2	NUM
cuesj-733	77	82	.	.	PUNCT
cuesj-733	77	83	)	)	PUNCT
cuesj-733	77	84	are	be	AUX
cuesj-733	77	85	related	relate	VERB
cuesj-733	77	86	by	by	ADP
cuesj-733	77	87	the	the	DET
cuesj-733	77	88	formula	formula	NOUN
cuesj-733	77	89	below	below	ADV
cuesj-733	77	90	.	.	PUNCT
cuesj-733	78	1	the	the	DET
cuesj-733	78	2	logistic	logistic	ADJ
cuesj-733	78	3	regression	regression	NOUN
cuesj-733	78	4	equation	equation	NOUN
cuesj-733	78	5	form	form	NOUN
cuesj-733	78	6	is	be	AUX
cuesj-733	78	7	rewritten	rewrite	VERB
cuesj-733	78	8	as	as	ADP
cuesj-733	78	9	such	such	ADJ
cuesj-733	78	10	:	:	PUNCT
cuesj-733	78	11	logit	logit	PROPN
cuesj-733	78	12	p	p	NOUN
cuesj-733	78	13	x	x	X
cuesj-733	78	14	p	p	X
cuesj-733	78	15	x	x	X
cuesj-733	78	16	p	p	X
cuesj-733	78	17	x	x	X
cuesj-733	78	18	x	x	PUNCT
cuesj-733	78	19	x	x	PROPN
cuesj-733	78	20	xe	xe	PROPN
cuesj-733	78	21	k	k	PROPN
cuesj-733	78	22	k	k	PROPN
cuesj-733	78	23	�	�	PROPN
cuesj-733	78	24	log	log	NOUN
cuesj-733	78	25	.	.	PUNCT
cuesj-733	79	1	�	�	PROPN
cuesj-733	79	2	�	�	PROPN
cuesj-733	79	3	�	�	PROPN
cuesj-733	79	4	�	�	PROPN
cuesj-733	79	5	�	�	PROPN
cuesj-733	79	6	�	�	PROPN
cuesj-733	79	7	�	�	PROPN
cuesj-733	79	8	�	�	PROPN
cuesj-733	79	9	�	�	PROPN
cuesj-733	79	10	�	�	PROPN
cuesj-733	79	11	�	�	PROPN
cuesj-733	79	12	�	�	PROPN
cuesj-733	79	13	�	�	PROPN
cuesj-733	79	14	�	�	PROPN
cuesj-733	79	15	�	�	PROPN
cuesj-733	79	16	�	�	PROPN
cuesj-733	79	17	�	�	PROPN
cuesj-733	79	18	�	�	PROPN
cuesj-733	79	19	�	�	PROPN
cuesj-733	79	20	�	�	PROPN
cuesj-733	79	21	�	�	PROPN
cuesj-733	79	22	�	�	PROPN
cuesj-733	79	23	�	�	PROPN
cuesj-733	79	24	�	�	PROPN
cuesj-733	79	25	1	1	NUM
cuesj-733	79	26	1	1	NUM
cuesj-733	79	27	1	1	NUM
cuesj-733	79	28	2	2	NUM
cuesj-733	79	29	2	2	NUM
cuesj-733	79	30	�	�	PROPN
cuesj-733	79	31	�	�	PROPN
cuesj-733	79	32	�	�	PROPN
cuesj-733	79	33	�	�	PROPN
cuesj-733	79	34	�	�	PROPN
cuesj-733	79	35	the	the	DET
cuesj-733	79	36	logistic	logistic	ADJ
cuesj-733	79	37	regression	regression	NOUN
cuesj-733	79	38	model	model	NOUN
cuesj-733	79	39	can	can	AUX
cuesj-733	79	40	be	be	AUX
cuesj-733	79	41	calculated	calculate	VERB
cuesj-733	79	42	using	use	VERB
cuesj-733	79	43	the	the	DET
cuesj-733	79	44	formula	formula	NOUN
cuesj-733	79	45	below.[17,18	below.[17,18	NOUN
cuesj-733	79	46	]	]	X
cuesj-733	79	47	p	p	X
cuesj-733	79	48	x	x	X
cuesj-733	79	49	x	x	PUNCT
cuesj-733	79	50	x	x	X
cuesj-733	79	51	kxk	kxk	NOUN
cuesj-733	79	52	x	x	X
cuesj-733	79	53	x	x	SYM
cuesj-733	79	54	kxk	kxk	NOUN
cuesj-733	79	55	(	(	PUNCT
cuesj-733	79	56	)	)	PUNCT
cuesj-733	79	57	.	.	PUNCT
cuesj-733	80	1	�	�	PROPN
cuesj-733	80	2	�	�	PROPN
cuesj-733	80	3	�	�	PROPN
cuesj-733	80	4	�	�	PROPN
cuesj-733	80	5	�	�	PROPN
cuesj-733	80	6	�	�	PROPN
cuesj-733	80	7	�	�	PROPN
cuesj-733	80	8	�	�	PROPN
cuesj-733	80	9	�	�	PROPN
cuesj-733	80	10	�	�	PROPN
cuesj-733	80	11	�	�	PROPN
cuesj-733	80	12	�	�	PROPN
cuesj-733	80	13	�	�	PROPN
cuesj-733	80	14	�	�	PROPN
cuesj-733	80	15	�	�	PROPN
cuesj-733	80	16	�	�	PROPN
cuesj-733	80	17	e	e	PROPN
cuesj-733	80	18	e	e	PROPN
cuesj-733	80	19	�	�	PROPN
cuesj-733	80	20	�	�	PROPN
cuesj-733	80	21	�	�	PROPN
cuesj-733	80	22	�	�	PROPN
cuesj-733	80	23	�	�	PROPN
cuesj-733	80	24	�	�	PROPN
cuesj-733	80	25	�	�	PROPN
cuesj-733	80	26	�	�	PROPN
cuesj-733	80	27	�	�	PROPN
cuesj-733	80	28	�	�	PROPN
cuesj-733	80	29	1	1	NUM
cuesj-733	80	30	1	1	NUM
cuesj-733	80	31	2	2	NUM
cuesj-733	80	32	2	2	NUM
cuesj-733	80	33	1	1	NUM
cuesj-733	80	34	1	1	NUM
cuesj-733	80	35	2	2	NUM
cuesj-733	80	36	21	21	NUM
cuesj-733	80	37	estimate	estimate	NOUN
cuesj-733	80	38	the	the	DET
cuesj-733	80	39	parameters	parameter	NOUN
cuesj-733	80	40	of	of	ADP
cuesj-733	80	41	logistic	logistic	ADJ
cuesj-733	80	42	regression	regression	NOUN
cuesj-733	80	43	model	model	NOUN
cuesj-733	80	44	the	the	DET
cuesj-733	80	45	approach	approach	NOUN
cuesj-733	80	46	of	of	ADP
cuesj-733	80	47	maximum	maximum	ADJ
cuesj-733	80	48	likelihood	likelihood	NOUN
cuesj-733	80	49	estimation	estimation	NOUN
cuesj-733	80	50	will	will	AUX
cuesj-733	80	51	be	be	AUX
cuesj-733	80	52	used	use	VERB
cuesj-733	80	53	.	.	PUNCT
cuesj-733	81	1	the	the	DET
cuesj-733	81	2	log	log	NOUN
cuesj-733	81	3	likelihood	likelihood	NOUN
cuesj-733	81	4	is	be	AUX
cuesj-733	81	5	given	give	VERB
cuesj-733	81	6	as:[19	as:[19	NOUN
cuesj-733	81	7	-	-	SYM
cuesj-733	81	8	21	21	NUM
cuesj-733	81	9	]	]	PUNCT
cuesj-733	81	10	(	(	PUNCT
cuesj-733	81	11	)	)	PUNCT
cuesj-733	81	12	yi	yi	PROPN
cuesj-733	81	13	1	1	NUM
cuesj-733	81	14	yi	yi	NOUN
cuesj-733	81	15	1	1	NUM
cuesj-733	81	16	(	(	PUNCT
cuesj-733	81	17	 	 	SPACE
cuesj-733	81	18	,	,	PUNCT
cuesj-733	81	19	  	  	SPACE
cuesj-733	81	20	)	)	PUNCT
cuesj-733	82	1	[	[	X
cuesj-733	82	2	1	1	NUM
cuesj-733	82	3	(	(	PUNCT
cuesj-733	82	4	)	)	PUNCT
cuesj-733	82	5	]	]	PUNCT
cuesj-733	83	1	n	n	CCONJ
cuesj-733	84	1	i	i	PRON
cuesj-733	84	2	l	l	NOUN
cuesj-733	85	1	p	p	X
cuesj-733	85	2	x	x	X
cuesj-733	85	3	p	p	X
cuesj-733	85	4	x	x	X
cuesj-733	85	5	−	−	PROPN
cuesj-733	85	6	=	=	SYM
cuesj-733	85	7	α	α	NOUN
cuesj-733	85	8	β	β	X
cuesj-733	85	9	=	=	PUNCT
cuesj-733	85	10	−∏	−∏	NOUN
cuesj-733	85	11	we	we	PRON
cuesj-733	85	12	’ll	’ll	AUX
cuesj-733	85	13	use	use	VERB
cuesj-733	85	14	the	the	DET
cuesj-733	85	15	log	log	NOUN
cuesj-733	85	16	likelihood	likelihood	NOUN
cuesj-733	85	17	method	method	NOUN
cuesj-733	85	18	for	for	ADP
cuesj-733	85	19	estimation	estimation	NOUN
cuesj-733	85	20	:	:	PUNCT
cuesj-733	85	21	logl	logl	NOUN
cuesj-733	85	22	logp	logp	NOUN
cuesj-733	86	1	x	x	X
cuesj-733	86	2	p	p	X
cuesj-733	86	3	x	x	X
cuesj-733	86	4	i	i	PRON
cuesj-733	86	5	(	(	PUNCT
cuesj-733	86	6	�	�	PROPN
cuesj-733	86	7	,	,	PUNCT
cuesj-733	86	8	)	)	PUNCT
cuesj-733	86	9	(	(	PUNCT
cuesj-733	86	10	)	)	PUNCT
cuesj-733	86	11	(	(	PUNCT
cuesj-733	86	12	(	(	PUNCT
cuesj-733	86	13	)	)	PUNCT
cuesj-733	86	14	�	�	PROPN
cuesj-733	86	15	�	�	PROPN
cuesj-733	86	16	�	�	PROPN
cuesj-733	86	17	�	�	PROPN
cuesj-733	86	18	�	�	PROPN
cuesj-733	86	19	�	�	PROPN
cuesj-733	86	20	�	�	PROPN
cuesj-733	86	21	�	�	PROPN
cuesj-733	86	22	�	�	PROPN
cuesj-733	86	23	�	�	PROPN
cuesj-733	86	24	�	�	PROPN
cuesj-733	86	25	�	�	PROPN
cuesj-733	86	26	�	�	PROPN
cuesj-733	86	27	�	�	PROPN
cuesj-733	86	28	�	�	PROPN
cuesj-733	86	29	�	�	PROPN
cuesj-733	86	30	�	�	PROPN
cuesj-733	86	31	�	�	PROPN
cuesj-733	86	32	�	�	PROPN
cuesj-733	86	33	�	�	PROPN
cuesj-733	86	34	�	�	PROPN
cuesj-733	86	35	�	�	PROPN
cuesj-733	86	36	�	�	PROPN
cuesj-733	86	37	1	1	NUM
cuesj-733	86	38	1	1	NUM
cuesj-733	86	39	1	1	NUM
cuesj-733	86	40	n	n	NUM
cuesj-733	86	41	i	i	PRON
cuesj-733	87	1	i	i	PRON
cuesj-733	87	2	n	n	VERB
cuesj-733	87	3	iy	iy	INTJ
cuesj-733	87	4	n	n	CCONJ
cuesj-733	87	5	y	y	PROPN
cuesj-733	87	6	log	log	PROPN
cuesj-733	87	7	�	�	PROPN
cuesj-733	87	8	�	�	PROPN
cuesj-733	87	9	�	�	PROPN
cuesj-733	87	10	�	�	PROPN
cuesj-733	87	11	�	�	PROPN
cuesj-733	87	12	�	�	PROPN
cuesj-733	87	13	�	�	PROPN
cuesj-733	87	14	�	�	PROPN
cuesj-733	87	15	�	�	PROPN
cuesj-733	87	16	�	�	PROPN
cuesj-733	87	17	�	�	PROPN
cuesj-733	87	18	�	�	PROPN
cuesj-733	87	19	�	�	PROPN
cuesj-733	87	20	�	�	PROPN
cuesj-733	87	21	�	�	PROPN
cuesj-733	87	22	�	�	PROPN
cuesj-733	87	23	�	�	PROPN
cuesj-733	87	24	�	�	PROPN
cuesj-733	87	25	�	�	PROPN
cuesj-733	87	26	�	�	PROPN
cuesj-733	87	27	�	�	PROPN
cuesj-733	88	1	u	u	PROPN
cuesj-733	89	1	p	p	NOUN
cuesj-733	89	2	l	l	NOUN
cuesj-733	89	3	p	p	X
cuesj-733	89	4	x	x	X
cuesj-733	89	5	i	i	PRON
cuesj-733	89	6	(	(	PUNCT
cuesj-733	89	7	)	)	PUNCT
cuesj-733	89	8	(	(	PUNCT
cuesj-733	89	9	,	,	PUNCT
cuesj-733	89	10	)	)	PUNCT
cuesj-733	89	11	/	/	SYM
cuesj-733	89	12	(	(	PUNCT
cuesj-733	89	13	)	)	PUNCT
cuesj-733	89	14	/	/	PUNCT
cuesj-733	89	15	(	(	PUNCT
cuesj-733	89	16	(	(	PUNCT
cuesj-733	89	17	�	�	PROPN
cuesj-733	89	18	�	�	PROPN
cuesj-733	89	19	�	�	PROPN
cuesj-733	89	20	�	�	PROPN
cuesj-733	89	21	p	p	PROPN
cuesj-733	89	22	y	y	PROPN
cuesj-733	89	23	n	n	PROPN
cuesj-733	89	24	y	y	PROPN
cuesj-733	89	25	p	p	X
cuesj-733	89	26	x	x	X
cuesj-733	89	27	i	i	PRON
cuesj-733	89	28	n	n	VERB
cuesj-733	90	1	i	i	PRON
cuesj-733	90	2	n	n	VERB
cuesj-733	90	3	i	i	NOUN
cuesj-733	90	4	1	1	NUM
cuesj-733	90	5	1	1	NUM
cuesj-733	90	6	1	1	NUM
cuesj-733	90	7	)	)	PUNCT
cuesj-733	90	8	)	)	PUNCT
cuesj-733	90	9	)	)	PUNCT
cuesj-733	90	10	�	�	PROPN
cuesj-733	90	11	�	�	PROPN
cuesj-733	90	12	�	�	PROPN
cuesj-733	90	13	�	�	PROPN
cuesj-733	90	14	�	�	PROPN
cuesj-733	90	15	�	�	PROPN
cuesj-733	90	16	�	�	PROPN
cuesj-733	90	17	�	�	PROPN
cuesj-733	90	18	cox	cox	PROPN
cuesj-733	90	19	and	and	CCONJ
cuesj-733	90	20	snell	snell	PROPN
cuesj-733	90	21	r2	r2	PROPN
cuesj-733	90	22	statistic	statistic	NOUN
cuesj-733	90	23	in	in	ADP
cuesj-733	90	24	the	the	DET
cuesj-733	90	25	logistic	logistic	ADJ
cuesj-733	90	26	regression	regression	NOUN
cuesj-733	90	27	model	model	NOUN
cuesj-733	90	28	,	,	PUNCT
cuesj-733	90	29	the	the	DET
cuesj-733	90	30	determination	determination	NOUN
cuesj-733	90	31	coefficient	coefficient	NOUN
cuesj-733	90	32	r2	r2	PROPN
cuesj-733	90	33	used	use	VERB
cuesj-733	90	34	to	to	PART
cuesj-733	90	35	determine	determine	VERB
cuesj-733	90	36	the	the	DET
cuesj-733	90	37	fittingness	fittingness	NOUN
cuesj-733	90	38	of	of	ADP
cuesj-733	90	39	the	the	DET
cuesj-733	90	40	proposed	propose	VERB
cuesj-733	90	41	regression	regression	NOUN
cuesj-733	90	42	,	,	PUNCT
cuesj-733	90	43	table	table	NOUN
cuesj-733	90	44	1	1	NUM
cuesj-733	90	45	:	:	SYM
cuesj-733	90	46	five	five	NUM
cuesj-733	90	47	hundred	hundred	NUM
cuesj-733	91	1	patients	patient	NOUN
cuesj-733	91	2	sample	sample	VERB
cuesj-733	91	3	i	i	PROPN
cuesj-733	91	4	d	d	PROPN
cuesj-733	91	5	y	y	PROPN
cuesj-733	91	6	:	:	PUNCT
cuesj-733	92	1	bp	bp	PROPN
cuesj-733	92	2	x1	x1	NUM
cuesj-733	92	3	:	:	PUNCT
cuesj-733	92	4	gender	gender	NOUN
cuesj-733	92	5	x2	x2	PROPN
cuesj-733	92	6	:	:	PUNCT
cuesj-733	92	7	age	age	NOUN
cuesj-733	92	8	x3	x3	PROPN
cuesj-733	92	9	:	:	PUNCT
cuesj-733	92	10	urea	urea	PROPN
cuesj-733	92	11	x4	x4	PROPN
cuesj-733	92	12	:	:	PUNCT
cuesj-733	92	13	cholesterol	cholesterol	NOUN
cuesj-733	92	14	x5	x5	PROPN
cuesj-733	92	15	:	:	PUNCT
cuesj-733	92	16	creatinine	creatinine	NOUN
cuesj-733	92	17	x6	x6	PROPN
cuesj-733	92	18	:	:	PUNCT
cuesj-733	92	19	weight	weight	NOUN
cuesj-733	92	20	1	1	NUM
cuesj-733	92	21	88	88	NUM
cuesj-733	92	22	(	(	PUNCT
cuesj-733	92	23	0	0	NUM
cuesj-733	92	24	)	)	PUNCT
cuesj-733	92	25	1	1	NUM
cuesj-733	92	26	70	70	NUM
cuesj-733	92	27	68	68	NUM
cuesj-733	92	28	127	127	NUM
cuesj-733	92	29	1.26	1.26	NUM
cuesj-733	92	30	89	89	NUM
cuesj-733	92	31	2	2	NUM
cuesj-733	92	32	76	76	NUM
cuesj-733	92	33	(	(	PUNCT
cuesj-733	92	34	0	0	NUM
cuesj-733	92	35	)	)	PUNCT
cuesj-733	92	36	2	2	NUM
cuesj-733	92	37	40	40	NUM
cuesj-733	92	38	41	41	NUM
cuesj-733	92	39	117	117	NUM
cuesj-733	92	40	0.97	0.97	NUM
cuesj-733	92	41	96	96	NUM
cuesj-733	92	42	3	3	NUM
cuesj-733	92	43	99.33	99.33	NUM
cuesj-733	92	44	1	1	NUM
cuesj-733	92	45	44	44	NUM
cuesj-733	92	46	34	34	NUM
cuesj-733	92	47	201	201	NUM
cuesj-733	92	48	0.59	0.59	NUM
cuesj-733	92	49	74	74	NUM
cuesj-733	92	50	4	4	NUM
cuesj-733	92	51	85	85	NUM
cuesj-733	92	52	(	(	PUNCT
cuesj-733	92	53	0	0	NUM
cuesj-733	92	54	)	)	PUNCT
cuesj-733	92	55	2	2	NUM
cuesj-733	92	56	43	43	NUM
cuesj-733	92	57	33	33	NUM
cuesj-733	92	58	221	221	NUM
cuesj-733	92	59	0.67	0.67	NUM
cuesj-733	92	60	107	107	NUM
cuesj-733	92	61	5	5	NUM
cuesj-733	92	62	117	117	NUM
cuesj-733	92	63	1	1	NUM
cuesj-733	92	64	55	55	NUM
cuesj-733	92	65	54	54	NUM
cuesj-733	92	66	226	226	NUM
cuesj-733	92	67	1.12	1.12	NUM
cuesj-733	92	68	88	88	NUM
cuesj-733	92	69	6	6	NUM
cuesj-733	92	70	92	92	NUM
cuesj-733	92	71	(	(	PUNCT
cuesj-733	92	72	0	0	NUM
cuesj-733	92	73	)	)	PUNCT
cuesj-733	92	74	1	1	NUM
cuesj-733	92	75	67	67	NUM
cuesj-733	92	76	31	31	NUM
cuesj-733	92	77	173	173	NUM
cuesj-733	92	78	0.72	0.72	NUM
cuesj-733	92	79	76	76	NUM
cuesj-733	92	80	7	7	NUM
cuesj-733	92	81	96.67	96.67	NUM
cuesj-733	92	82	1	1	NUM
cuesj-733	92	83	47	47	NUM
cuesj-733	92	84	43	43	NUM
cuesj-733	92	85	165	165	NUM
cuesj-733	92	86	0.78	0.78	NUM
cuesj-733	92	87	65	65	NUM
cuesj-733	92	88	497	497	NUM
cuesj-733	92	89	107.67	107.67	NUM
cuesj-733	92	90	1	1	NUM
cuesj-733	92	91	54	54	NUM
cuesj-733	92	92	31	31	NUM
cuesj-733	92	93	160	160	NUM
cuesj-733	92	94	0.87	0.87	NUM
cuesj-733	92	95	85	85	NUM
cuesj-733	92	96	498	498	NUM
cuesj-733	92	97	93.67	93.67	NUM
cuesj-733	92	98	2	2	NUM
cuesj-733	92	99	63	63	NUM
cuesj-733	92	100	16	16	NUM
cuesj-733	92	101	109	109	NUM
cuesj-733	92	102	0.6	0.6	NUM
cuesj-733	92	103	69	69	NUM
cuesj-733	92	104	499	499	NUM
cuesj-733	92	105	106.67	106.67	NUM
cuesj-733	92	106	1	1	NUM
cuesj-733	92	107	58	58	NUM
cuesj-733	92	108	25	25	NUM
cuesj-733	92	109	100	100	NUM
cuesj-733	92	110	0.73	0.73	NUM
cuesj-733	92	111	67	67	NUM
cuesj-733	92	112	500	500	NUM
cuesj-733	92	113	118.33	118.33	NUM
cuesj-733	92	114	1	1	NUM
cuesj-733	92	115	69	69	NUM
cuesj-733	92	116	38	38	NUM
cuesj-733	92	117	134	134	NUM
cuesj-733	92	118	1.11	1.11	NUM
cuesj-733	92	119	65	65	NUM
cuesj-733	92	120	bp	bp	PROPN
cuesj-733	92	121	:	:	PUNCT
cuesj-733	92	122	blood	blood	NOUN
cuesj-733	92	123	pressure	pressure	NOUN
cuesj-733	92	124	meran	meran	NOUN
cuesj-733	92	125	and	and	CCONJ
cuesj-733	92	126	sedeeq	sedeeq	NOUN
cuesj-733	92	127	:	:	PUNCT
cuesj-733	92	128	tobit	tobit	NOUN
cuesj-733	92	129	and	and	CCONJ
cuesj-733	92	130	logistic	logistic	ADJ
cuesj-733	92	131	regression	regression	NOUN
cuesj-733	92	132	models	model	NOUN
cuesj-733	92	133	136	136	NUM
cuesj-733	92	134	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	92	135	cuesj	cuesj	ADJ
cuesj-733	92	136	2022	2022	NUM
cuesj-733	92	137	,	,	PUNCT
cuesj-733	92	138	6	6	NUM
cuesj-733	92	139	(	(	PUNCT
cuesj-733	92	140	2	2	NUM
cuesj-733	92	141	):	):	PUNCT
cuesj-733	92	142	133	133	NUM
cuesj-733	92	143	-	-	SYM
cuesj-733	92	144	140	140	NUM
cuesj-733	92	145	models	model	NOUN
cuesj-733	92	146	for	for	ADP
cuesj-733	92	147	the	the	DET
cuesj-733	92	148	study	study	NOUN
cuesj-733	92	149	data	datum	NOUN
cuesj-733	92	150	is	be	AUX
cuesj-733	92	151	changed	change	VERB
cuesj-733	92	152	by	by	ADP
cuesj-733	92	153	the	the	DET
cuesj-733	92	154	r2	r2	PROPN
cuesj-733	92	155	nagelkerke	nagelkerke	PROPN
cuesj-733	92	156	,	,	PUNCT
cuesj-733	92	157	cox	cox	PROPN
cuesj-733	92	158	,	,	PUNCT
cuesj-733	92	159	and	and	CCONJ
cuesj-733	92	160	snell	snell	PROPN
cuesj-733	92	161	r2	r2	PROPN
cuesj-733	92	162	computation	computation	NOUN
cuesj-733	92	163	statistics	statistic	NOUN
cuesj-733	92	164	.	.	PUNCT
cuesj-733	93	1	can	can	AUX
cuesj-733	93	2	be	be	AUX
cuesj-733	93	3	calculated	calculate	VERB
cuesj-733	93	4	as	as	ADP
cuesj-733	93	5	:	:	PUNCT
cuesj-733	93	6	�	�	PROPN
cuesj-733	93	7	(	(	PUNCT
cuesj-733	93	8	/	/	SYM
cuesj-733	93	9	)	)	PUNCT
cuesj-733	93	10	r	r	NOUN
cuesj-733	93	11	cox	cox	PROPN
cuesj-733	93	12	�	�	PROPN
cuesj-733	93	13	and	and	CCONJ
cuesj-733	93	14	�	�	PROPN
cuesj-733	93	15	snell2	snell2	NOUN
cuesj-733	93	16	0	0	NUM
cuesj-733	94	1	1	1	NUM
cuesj-733	94	2	2	2	NUM
cuesj-733	94	3	1	1	NUM
cuesj-733	94	4	�	�	PROPN
cuesj-733	94	5	�	�	PROPN
cuesj-733	94	6	�	�	PROPN
cuesj-733	94	7	�	�	PROPN
cuesj-733	94	8	�	�	PROPN
cuesj-733	94	9	�	�	PROPN
cuesj-733	94	10	�	�	PROPN
cuesj-733	94	11	�	�	PROPN
cuesj-733	94	12	l	l	PROPN
cuesj-733	94	13	l	l	NOUN
cuesj-733	94	14	n	n	SYM
cuesj-733	94	15	l0	l0	NOUN
cuesj-733	94	16	:	:	PUNCT
cuesj-733	94	17	maximum	maximum	ADJ
cuesj-733	94	18	likelihood	likelihood	NOUN
cuesj-733	94	19	for	for	ADP
cuesj-733	94	20	constant	constant	ADJ
cuesj-733	94	21	in	in	ADP
cuesj-733	94	22	the	the	DET
cuesj-733	94	23	model	model	NOUN
cuesj-733	94	24	.	.	PUNCT
cuesj-733	95	1	l1	l1	PROPN
cuesj-733	95	2	:	:	PUNCT
cuesj-733	95	3	maximum	maximum	ADJ
cuesj-733	95	4	likelihood	likelihood	NOUN
cuesj-733	95	5	independent	independent	ADJ
cuesj-733	95	6	variables	variable	NOUN
cuesj-733	95	7	in	in	ADP
cuesj-733	95	8	the	the	DET
cuesj-733	95	9	model	model	NOUN
cuesj-733	95	10	n	n	CCONJ
cuesj-733	95	11	:	:	PUNCT
cuesj-733	95	12	sample	sample	PROPN
cuesj-733	95	13	size[22	size[22	PROPN
cuesj-733	95	14	]	]	PUNCT
cuesj-733	95	15	and	and	CCONJ
cuesj-733	95	16	,	,	PUNCT
cuesj-733	95	17	can	can	AUX
cuesj-733	95	18	be	be	AUX
cuesj-733	95	19	calculated	calculate	VERB
cuesj-733	95	20	as	as	ADP
cuesj-733	95	21	:	:	PUNCT
cuesj-733	95	22	r	r	NOUN
cuesj-733	95	23	r	r	NOUN
cuesj-733	95	24	n	n	NOUN
cuesj-733	95	25	2	2	NUM
cuesj-733	95	26	2	2	NUM
cuesj-733	95	27	0	0	NUM
cuesj-733	95	28	21	21	NUM
cuesj-733	95	29	nagelkerke	nagelkerke	NOUN
cuesj-733	95	30	cox	cox	PROPN
cuesj-733	95	31	snell	snell	PROPN
cuesj-733	95	32	l	l	PROPN
cuesj-733	95	33	�	�	PROPN
cuesj-733	95	34	�	�	PROPN
cuesj-733	95	35	�	�	PROPN
cuesj-733	95	36	�	�	PROPN
cuesj-733	95	37	&	&	CCONJ
cuesj-733	95	38	�	�	PROPN
cuesj-733	95	39	(	(	PUNCT
cuesj-733	95	40	/	/	SYM
cuesj-733	95	41	)	)	PUNCT
cuesj-733	95	42	the	the	DET
cuesj-733	95	43	hosmer	hosmer	NOUN
cuesj-733	95	44	-	-	PUNCT
cuesj-733	95	45	lemeshow	lemeshow	NOUN
cuesj-733	95	46	test	test	NOUN
cuesj-733	95	47	the	the	DET
cuesj-733	95	48	hosmer	hosmer	PROPN
cuesj-733	95	49	and	and	CCONJ
cuesj-733	95	50	lemeshow	lemeshow	PROPN
cuesj-733	95	51	test	test	NOUN
cuesj-733	95	52	is	be	AUX
cuesj-733	95	53	a	a	DET
cuesj-733	95	54	widely	widely	ADV
cuesj-733	95	55	-	-	PUNCT
cuesj-733	95	56	used	use	VERB
cuesj-733	95	57	test	test	NOUN
cuesj-733	95	58	for	for	ADP
cuesj-733	95	59	determining	determine	VERB
cuesj-733	95	60	a	a	DET
cuesj-733	95	61	model	model	NOUN
cuesj-733	95	62	’s	’s	PART
cuesj-733	95	63	quality	quality	NOUN
cuesj-733	95	64	of	of	ADP
cuesj-733	95	65	fit	fit	NOUN
cuesj-733	95	66	.	.	PUNCT
cuesj-733	96	1	it	it	PRON
cuesj-733	96	2	accepts	accept	VERB
cuesj-733	96	3	any	any	DET
cuesj-733	96	4	number	number	NOUN
cuesj-733	96	5	of	of	ADP
cuesj-733	96	6	explanatory	explanatory	ADJ
cuesj-733	96	7	-	-	PUNCT
cuesj-733	96	8	variables	variable	NOUN
cuesj-733	96	9	,	,	PUNCT
cuesj-733	96	10	which	which	PRON
cuesj-733	96	11	can	can	AUX
cuesj-733	96	12	be	be	AUX
cuesj-733	96	13	continuous	continuous	ADJ
cuesj-733	96	14	or	or	CCONJ
cuesj-733	96	15	categorical	categorical	ADJ
cuesj-733	96	16	.	.	PUNCT
cuesj-733	97	1	it	it	PRON
cuesj-733	97	2	is	be	AUX
cuesj-733	97	3	used	use	VERB
cuesj-733	97	4	to	to	PART
cuesj-733	97	5	test	test	VERB
cuesj-733	97	6	the	the	DET
cuesj-733	97	7	hypothesis	hypothesis	NOUN
cuesj-733	97	8	:	:	PUNCT
cuesj-733	97	9	h0	h0	PROPN
cuesj-733	97	10	:	:	PUNCT
cuesj-733	97	11	the	the	DET
cuesj-733	97	12	model	model	NOUN
cuesj-733	97	13	is	be	AUX
cuesj-733	97	14	adequate	adequate	ADJ
cuesj-733	97	15	for	for	ADP
cuesj-733	97	16	data	data	NOUN
cuesj-733	97	17	h1	h1	PROPN
cuesj-733	97	18	:	:	PUNCT
cuesj-733	97	19	the	the	DET
cuesj-733	97	20	model	model	NOUN
cuesj-733	97	21	is	be	AUX
cuesj-733	97	22	not	not	PART
cuesj-733	97	23	adequate	adequate	ADJ
cuesj-733	97	24	for	for	ADP
cuesj-733	97	25	data	datum	NOUN
cuesj-733	97	26	the	the	DET
cuesj-733	97	27	model	model	NOUN
cuesj-733	97	28	will	will	AUX
cuesj-733	97	29	be	be	AUX
cuesj-733	97	30	a	a	DET
cuesj-733	97	31	useful	useful	ADJ
cuesj-733	97	32	model	model	NOUN
cuesj-733	97	33	if	if	SCONJ
cuesj-733	97	34	(	(	PUNCT
cuesj-733	97	35	hosmer	hosmer	NOUN
cuesj-733	97	36	and	and	CCONJ
cuesj-733	97	37	lemeshow	lemeshow	ADJ
cuesj-733	97	38	)	)	PUNCT
cuesj-733	97	39	static	static	NOUN
cuesj-733	97	40	is	be	AUX
cuesj-733	97	41	>	>	X
cuesj-733	97	42	0.5.[22	0.5.[22	ADJ
cuesj-733	97	43	]	]	X
cuesj-733	97	44	hl	hl	NOUN
cuesj-733	98	1	o	o	NOUN
cuesj-733	98	2	e	e	X
cuesj-733	98	3	nk	nk	PROPN
cuesj-733	98	4	i	i	PROPN
cuesj-733	99	1	n	n	VERB
cuesj-733	100	1	i	i	PRON
cuesj-733	101	1	i	i	PRON
cuesj-733	102	1	i	i	PRON
cuesj-733	103	1	i	i	PRON
cuesj-733	104	1	i	i	PRON
cuesj-733	104	2	�	�	PROPN
cuesj-733	104	3	�	�	PROPN
cuesj-733	104	4	�	�	PROPN
cuesj-733	104	5	�	�	PROPN
cuesj-733	104	6	�	�	PROPN
cuesj-733	104	7	�	�	PROPN
cuesj-733	104	8	�	�	PROPN
cuesj-733	104	9	�	�	PROPN
cuesj-733	104	10	�	�	PROPN
cuesj-733	104	11	�	�	PROPN
cuesj-733	104	12	�	�	PROPN
cuesj-733	104	13	�	�	PROPN
cuesj-733	104	14	�	�	PROPN
cuesj-733	104	15	2	2	NUM
cuesj-733	104	16	2	2	NUM
cuesj-733	104	17	1	1	NUM
cuesj-733	104	18	2	2	NUM
cuesj-733	104	19	1	1	NUM
cuesj-733	104	20	wald	wald	NOUN
cuesj-733	104	21	statistic	statistic	NOUN
cuesj-733	104	22	the	the	DET
cuesj-733	104	23	wald	wald	NOUN
cuesj-733	104	24	test	test	NOUN
cuesj-733	104	25	is	be	AUX
cuesj-733	104	26	used	use	VERB
cuesj-733	104	27	to	to	PART
cuesj-733	104	28	determine	determine	VERB
cuesj-733	104	29	whether	whether	SCONJ
cuesj-733	104	30	or	or	CCONJ
cuesj-733	104	31	not	not	PART
cuesj-733	104	32	the	the	DET
cuesj-733	104	33	effect	effect	NOUN
cuesj-733	104	34	of	of	ADP
cuesj-733	104	35	the	the	DET
cuesj-733	104	36	logistic	logistic	ADJ
cuesj-733	104	37	regression	regression	NOUN
cuesj-733	104	38	coefficient	coefficient	NOUN
cuesj-733	104	39	on	on	ADP
cuesj-733	104	40	the	the	DET
cuesj-733	104	41	independent	independent	ADJ
cuesj-733	104	42	variables.[23	variables.[23	NOUN
cuesj-733	104	43	]	]	PUNCT
cuesj-733	104	44	the	the	DET
cuesj-733	104	45	wald	wald	NOUN
cuesj-733	104	46	statistic	statistic	NOUN
cuesj-733	104	47	is	be	AUX
cuesj-733	104	48	calculated	calculate	VERB
cuesj-733	104	49	according	accord	VERB
cuesj-733	104	50	to	to	ADP
cuesj-733	104	51	the	the	DET
cuesj-733	104	52	following	follow	VERB
cuesj-733	104	53	formula	formula	NOUN
cuesj-733	104	54	:	:	PUNCT
cuesj-733	104	55	2	2	NUM
cuesj-733	104	56	2	2	NUM
cuesj-733	104	57	       	       	SPACE
cuesj-733	104	58	.	.	PUNCT
cuesj-733	105	1	w	w	PROPN
cuesj-733	105	2	s	s	PART
cuesj-733	105	3	eβ	eβ	NOUN
cuesj-733	105	4			NOUN
cuesj-733	105	5	β	β	NOUN
cuesj-733	105	6	=	=	SYM
cuesj-733	105	7			ADJ
cuesj-733	105	8			PROPN
cuesj-733	105	9			ADJ
cuesj-733	105	10			ADJ
cuesj-733	105	11			NOUN
cuesj-733	105	12	the	the	DET
cuesj-733	105	13	classification	classification	NOUN
cuesj-733	105	14	table	table	NOUN
cuesj-733	105	15	the	the	DET
cuesj-733	105	16	use	use	NOUN
cuesj-733	105	17	of	of	ADP
cuesj-733	105	18	classification	classification	NOUN
cuesj-733	105	19	tables	table	NOUN
cuesj-733	105	20	is	be	AUX
cuesj-733	105	21	one	one	NUM
cuesj-733	105	22	of	of	ADP
cuesj-733	105	23	the	the	DET
cuesj-733	105	24	ways	way	NOUN
cuesj-733	105	25	to	to	PART
cuesj-733	105	26	check	check	VERB
cuesj-733	105	27	the	the	DET
cuesj-733	105	28	quality	quality	NOUN
cuesj-733	105	29	of	of	ADP
cuesj-733	105	30	matching	match	VERB
cuesj-733	105	31	the	the	DET
cuesj-733	105	32	model	model	NOUN
cuesj-733	105	33	with	with	ADP
cuesj-733	105	34	the	the	DET
cuesj-733	105	35	data	datum	NOUN
cuesj-733	105	36	.	.	PUNCT
cuesj-733	106	1	this	this	DET
cuesj-733	106	2	method	method	NOUN
cuesj-733	106	3	depends	depend	VERB
cuesj-733	106	4	on	on	ADP
cuesj-733	106	5	creating	create	VERB
cuesj-733	106	6	tables	table	NOUN
cuesj-733	106	7	that	that	PRON
cuesj-733	106	8	put	put	VERB
cuesj-733	106	9	the	the	DET
cuesj-733	106	10	number	number	NOUN
cuesj-733	106	11	of	of	ADP
cuesj-733	106	12	cases	case	NOUN
cuesj-733	106	13	that	that	PRON
cuesj-733	106	14	have	have	VERB
cuesj-733	106	15	the	the	DET
cuesj-733	106	16	desired	desire	VERB
cuesj-733	106	17	trait	trait	NOUN
cuesj-733	106	18	or	or	CCONJ
cuesj-733	106	19	the	the	DET
cuesj-733	106	20	cases	case	NOUN
cuesj-733	106	21	that	that	PRON
cuesj-733	106	22	do	do	AUX
cuesj-733	106	23	not	not	PART
cuesj-733	106	24	have	have	VERB
cuesj-733	106	25	the	the	DET
cuesj-733	106	26	desired	desire	VERB
cuesj-733	106	27	trait	trait	NOUN
cuesj-733	106	28	and	and	CCONJ
cuesj-733	106	29	that	that	PRON
cuesj-733	106	30	were	be	AUX
cuesj-733	106	31	categorized	categorize	VERB
cuesj-733	106	32	correctly	correctly	ADV
cuesj-733	106	33	or	or	CCONJ
cuesj-733	106	34	incorrectly	incorrectly	ADV
cuesj-733	106	35	.	.	PUNCT
cuesj-733	107	1	the	the	DET
cuesj-733	107	2	concept	concept	NOUN
cuesj-733	107	3	behind	behind	ADP
cuesj-733	107	4	using	use	VERB
cuesj-733	107	5	the	the	DET
cuesj-733	107	6	analysis	analysis	NOUN
cuesj-733	107	7	is	be	AUX
cuesj-733	107	8	it	it	PRON
cuesj-733	107	9	leading	lead	VERB
cuesj-733	107	10	to	to	ADP
cuesj-733	107	11	better	well	ADJ
cuesj-733	107	12	results	result	NOUN
cuesj-733	107	13	if	if	SCONJ
cuesj-733	107	14	the	the	DET
cuesj-733	107	15	model	model	NOUN
cuesj-733	107	16	is	be	AUX
cuesj-733	107	17	data	datum	NOUN
cuesj-733	107	18	compatible.[24	compatible.[24	NOUN
cuesj-733	107	19	]	]	PUNCT
cuesj-733	107	20	the	the	DET
cuesj-733	107	21	aic	aic	PROPN
cuesj-733	107	22	aic	aic	PROPN
cuesj-733	107	23	as	as	ADP
cuesj-733	107	24	a	a	DET
cuesj-733	107	25	model	model	NOUN
cuesj-733	107	26	selection	selection	NOUN
cuesj-733	107	27	criterion	criterion	NOUN
cuesj-733	107	28	for	for	ADP
cuesj-733	107	29	assessing	assess	VERB
cuesj-733	107	30	actual	actual	ADJ
cuesj-733	107	31	data	datum	NOUN
cuesj-733	107	32	,	,	PUNCT
cuesj-733	107	33	it	it	PRON
cuesj-733	107	34	has	have	AUX
cuesj-733	107	35	played	play	VERB
cuesj-733	107	36	a	a	DET
cuesj-733	107	37	key	key	ADJ
cuesj-733	107	38	role	role	NOUN
cuesj-733	107	39	in	in	ADP
cuesj-733	107	40	solving	solve	VERB
cuesj-733	107	41	issues	issue	NOUN
cuesj-733	107	42	in	in	ADP
cuesj-733	107	43	a	a	DET
cuesj-733	107	44	wide	wide	ADJ
cuesj-733	107	45	range	range	NOUN
cuesj-733	107	46	of	of	ADP
cuesj-733	107	47	fields	field	NOUN
cuesj-733	107	48	,	,	PUNCT
cuesj-733	107	49	and	and	CCONJ
cuesj-733	107	50	the	the	DET
cuesj-733	107	51	model	model	NOUN
cuesj-733	107	52	by	by	ADP
cuesj-733	107	53	the	the	DET
cuesj-733	107	54	lowermost	lowermost	ADJ
cuesj-733	107	55	aic	aic	PROPN
cuesj-733	107	56	is	be	AUX
cuesj-733	107	57	chosen	choose	VERB
cuesj-733	107	58	as	as	ADP
cuesj-733	107	59	the	the	DET
cuesj-733	107	60	best	good	ADJ
cuesj-733	107	61	model.[25	model.[25	NOUN
cuesj-733	107	62	]	]	PUNCT
cuesj-733	107	63	aic	aic	PROPN
cuesj-733	107	64	l	l	PROPN
cuesj-733	107	65	k	k	PROPN
cuesj-733	107	66	�	�	PROPN
cuesj-733	107	67	�	�	PROPN
cuesj-733	107	68	�	�	PROPN
cuesj-733	107	69	�	�	PROPN
cuesj-733	107	70	log	log	VERB
cuesj-733	107	71	*	*	PUNCT
cuesj-733	107	72	2	2	NUM
cuesj-733	107	73	2	2	NUM
cuesj-733	107	74	the	the	DET
cuesj-733	107	75	bic	bic	NOUN
cuesj-733	107	76	in	in	ADP
cuesj-733	107	77	statistical	statistical	ADJ
cuesj-733	107	78	model	model	NOUN
cuesj-733	107	79	selection	selection	NOUN
cuesj-733	107	80	,	,	PUNCT
cuesj-733	107	81	the	the	DET
cuesj-733	107	82	bic	bic	NOUN
cuesj-733	107	83	is	be	AUX
cuesj-733	107	84	unique	unique	ADJ
cuesj-733	107	85	of	of	ADP
cuesj-733	107	86	the	the	DET
cuesj-733	107	87	best	good	ADJ
cuesj-733	107	88	well	well	ADV
cuesj-733	107	89	-	-	PUNCT
cuesj-733	107	90	known	know	VERB
cuesj-733	107	91	and	and	CCONJ
cuesj-733	107	92	commonly	commonly	ADV
cuesj-733	107	93	used	use	VERB
cuesj-733	107	94	tools	tool	NOUN
cuesj-733	107	95	.	.	PUNCT
cuesj-733	108	1	bic	bic	PROPN
cuesj-733	108	2	is	be	AUX
cuesj-733	108	3	calculated	calculate	VERB
cuesj-733	108	4	for	for	ADP
cuesj-733	108	5	each	each	PRON
cuesj-733	108	6	of	of	ADP
cuesj-733	108	7	the	the	DET
cuesj-733	108	8	models	model	NOUN
cuesj-733	108	9	,	,	PUNCT
cuesj-733	108	10	and	and	CCONJ
cuesj-733	108	11	the	the	DET
cuesj-733	108	12	model	model	NOUN
cuesj-733	108	13	with	with	ADP
cuesj-733	108	14	the	the	DET
cuesj-733	108	15	lower	low	ADJ
cuesj-733	108	16	bic	bic	PROPN
cuesj-733	108	17	value	value	NOUN
cuesj-733	108	18	is	be	AUX
cuesj-733	108	19	selected	select	VERB
cuesj-733	108	20	as	as	ADP
cuesj-733	108	21	the	the	DET
cuesj-733	108	22	best	good	ADJ
cuesj-733	108	23	model.[26	model.[26	NOUN
cuesj-733	108	24	]	]	X
cuesj-733	108	25	 	 	SPACE
cuesj-733	108	26	2log	2log	PROPN
cuesj-733	108	27	2	2	NUM
cuesj-733	108	28	*	*	NOUN
cuesj-733	108	29	log	log	NOUN
cuesj-733	108	30	*	*	PUNCT
cuesj-733	108	31	bic	bic	PROPN
cuesj-733	108	32	l	l	NOUN
cuesj-733	108	33	n	n	NOUN
cuesj-733	108	34	k=−	k=−	NOUN
cuesj-733	108	35	+	+	CCONJ
cuesj-733	108	36	data	datum	NOUN
cuesj-733	108	37	analysis	analysis	NOUN
cuesj-733	108	38	in	in	ADP
cuesj-733	108	39	this	this	DET
cuesj-733	108	40	study	study	NOUN
cuesj-733	108	41	,	,	PUNCT
cuesj-733	108	42	the	the	DET
cuesj-733	108	43	two	two	NUM
cuesj-733	108	44	models	model	NOUN
cuesj-733	108	45	of	of	ADP
cuesj-733	108	46	tobit	tobit	NOUN
cuesj-733	108	47	and	and	CCONJ
cuesj-733	108	48	logistic	logistic	ADJ
cuesj-733	108	49	regression	regression	NOUN
cuesj-733	108	50	models	model	NOUN
cuesj-733	108	51	have	have	AUX
cuesj-733	108	52	been	be	AUX
cuesj-733	108	53	applied	apply	VERB
cuesj-733	108	54	on	on	ADP
cuesj-733	108	55	a	a	DET
cuesj-733	108	56	sample	sample	NOUN
cuesj-733	108	57	taken	take	VERB
cuesj-733	108	58	from	from	ADP
cuesj-733	108	59	500	500	NUM
cuesj-733	108	60	patients	patient	NOUN
cuesj-733	108	61	with	with	ADP
cuesj-733	108	62	heart	heart	NOUN
cuesj-733	108	63	disease	disease	NOUN
cuesj-733	108	64	and	and	CCONJ
cuesj-733	108	65	two	two	NUM
cuesj-733	108	66	levels	level	NOUN
cuesj-733	108	67	of	of	ADP
cuesj-733	108	68	blood	blood	NOUN
cuesj-733	108	69	pressure	pressure	NOUN
cuesj-733	108	70	,	,	PUNCT
cuesj-733	108	71	high	high	ADJ
cuesj-733	108	72	and	and	CCONJ
cuesj-733	108	73	low	low	ADJ
cuesj-733	108	74	blood	blood	NOUN
cuesj-733	108	75	pressure	pressure	NOUN
cuesj-733	108	76	,	,	PUNCT
cuesj-733	108	77	in	in	ADP
cuesj-733	108	78	hospital	hospital	NOUN
cuesj-733	108	79	–	–	PUNCT
cuesj-733	108	80	heart	heart	NOUN
cuesj-733	108	81	center	center	NOUN
cuesj-733	108	82	–	–	PUNCT
cuesj-733	108	83	erbil	erbil	PROPN
cuesj-733	108	84	.	.	PUNCT
cuesj-733	109	1	blood	blood	NOUN
cuesj-733	109	2	pressure	pressure	NOUN
cuesj-733	109	3	is	be	AUX
cuesj-733	109	4	taken	take	VERB
cuesj-733	109	5	from	from	ADP
cuesj-733	109	6	the	the	DET
cuesj-733	109	7	patients	patient	NOUN
cuesj-733	109	8	as	as	ADP
cuesj-733	109	9	response	response	NOUN
cuesj-733	109	10	variables	variable	NOUN
cuesj-733	109	11	and	and	CCONJ
cuesj-733	109	12	some	some	DET
cuesj-733	109	13	independent	independent	ADJ
cuesj-733	109	14	-	-	PUNCT
cuesj-733	109	15	variables	variable	NOUN
cuesj-733	109	16	(	(	PUNCT
cuesj-733	109	17	gender	gender	NOUN
cuesj-733	109	18	,	,	PUNCT
cuesj-733	109	19	urea	urea	NOUN
cuesj-733	109	20	,	,	PUNCT
cuesj-733	109	21	age	age	NOUN
cuesj-733	109	22	,	,	PUNCT
cuesj-733	109	23	cholesterol	cholesterol	NOUN
cuesj-733	109	24	,	,	PUNCT
cuesj-733	109	25	creatinine	creatinine	NOUN
cuesj-733	109	26	,	,	PUNCT
cuesj-733	109	27	and	and	CCONJ
cuesj-733	109	28	weight	weight	NOUN
cuesj-733	109	29	)	)	PUNCT
cuesj-733	109	30	.	.	PUNCT
cuesj-733	110	1	the	the	DET
cuesj-733	110	2	study	study	NOUN
cuesj-733	110	3	found	find	VERB
cuesj-733	110	4	that	that	SCONJ
cuesj-733	110	5	the	the	DET
cuesj-733	110	6	average	average	NOUN
cuesj-733	110	7	of	of	ADP
cuesj-733	110	8	blood	blood	NOUN
cuesj-733	110	9	pressure	pressure	NOUN
cuesj-733	110	10	by	by	ADP
cuesj-733	110	11	means	mean	NOUN
cuesj-733	110	12	of	of	ADP
cuesj-733	110	13	arterial	arterial	ADJ
cuesj-733	110	14	pressure	pressure	NOUN
cuesj-733	110	15	(	(	PUNCT
cuesj-733	110	16	map	map	NOUN
cuesj-733	110	17	)	)	PUNCT
cuesj-733	110	18	equation	equation	NOUN
cuesj-733	110	19	contains	contain	VERB
cuesj-733	110	20	each	each	DET
cuesj-733	110	21	high	high	ADJ
cuesj-733	110	22	and	and	CCONJ
cuesj-733	110	23	low	low	ADJ
cuesj-733	110	24	blood	blood	NOUN
cuesj-733	110	25	pressure	pressure	NOUN
cuesj-733	110	26	differently	differently	ADV
cuesj-733	110	27	because	because	SCONJ
cuesj-733	110	28	the	the	DET
cuesj-733	110	29	threshold	threshold	NOUN
cuesj-733	110	30	point	point	NOUN
cuesj-733	110	31	was	be	AUX
cuesj-733	110	32	determined	determine	VERB
cuesj-733	110	33	to	to	PART
cuesj-733	110	34	be	be	AUX
cuesj-733	110	35	99.33	99.33	NUM
cuesj-733	110	36	.	.	PUNCT
cuesj-733	111	1	to	to	PART
cuesj-733	111	2	take	take	VERB
cuesj-733	111	3	the	the	DET
cuesj-733	111	4	best	good	ADJ
cuesj-733	111	5	model	model	NOUN
cuesj-733	111	6	for	for	ADP
cuesj-733	111	7	our	our	PRON
cuesj-733	111	8	data	datum	NOUN
cuesj-733	111	9	in	in	ADP
cuesj-733	111	10	the	the	DET
cuesj-733	111	11	study	study	NOUN
cuesj-733	111	12	,	,	PUNCT
cuesj-733	111	13	two	two	NUM
cuesj-733	111	14	statistical	statistical	ADJ
cuesj-733	111	15	measures	measure	NOUN
cuesj-733	111	16	(	(	PUNCT
cuesj-733	111	17	aic	aic	PROPN
cuesj-733	111	18	and	and	CCONJ
cuesj-733	111	19	bic	bic	PROPN
cuesj-733	111	20	)	)	PUNCT
cuesj-733	111	21	were	be	AUX
cuesj-733	111	22	used	use	VERB
cuesj-733	111	23	.	.	PUNCT
cuesj-733	112	1	note	note	VERB
cuesj-733	112	2	:	:	PUNCT
cuesj-733	112	3	all	all	DET
cuesj-733	112	4	assumptions	assumption	NOUN
cuesj-733	112	5	and	and	CCONJ
cuesj-733	112	6	tests	test	NOUN
cuesj-733	112	7	related	relate	VERB
cuesj-733	112	8	to	to	ADP
cuesj-733	112	9	tobit	tobit	NOUN
cuesj-733	112	10	and	and	CCONJ
cuesj-733	112	11	logistic	logistic	ADJ
cuesj-733	112	12	regression	regression	NOUN
cuesj-733	112	13	models	model	NOUN
cuesj-733	112	14	have	have	AUX
cuesj-733	112	15	been	be	AUX
cuesj-733	112	16	applied	apply	VERB
cuesj-733	112	17	before	before	SCONJ
cuesj-733	112	18	we	we	PRON
cuesj-733	112	19	started	start	VERB
cuesj-733	112	20	the	the	DET
cuesj-733	112	21	data	data	NOUN
cuesj-733	112	22	analyses	analysis	NOUN
cuesj-733	112	23	in	in	ADP
cuesj-733	112	24	this	this	DET
cuesj-733	112	25	study	study	NOUN
cuesj-733	112	26	.	.	PUNCT
cuesj-733	113	1	data	datum	NOUN
cuesj-733	113	2	description	description	NOUN
cuesj-733	113	3	for	for	ADP
cuesj-733	113	4	tobit	tobit	NOUN
cuesj-733	113	5	regression	regression	NOUN
cuesj-733	113	6	analysis	analysis	NOUN
cuesj-733	113	7	in	in	ADP
cuesj-733	113	8	this	this	DET
cuesj-733	113	9	study	study	NOUN
cuesj-733	113	10	,	,	PUNCT
cuesj-733	113	11	the	the	DET
cuesj-733	113	12	data	datum	NOUN
cuesj-733	113	13	are	be	AUX
cuesj-733	113	14	gathered	gather	VERB
cuesj-733	113	15	from	from	ADP
cuesj-733	113	16	500	500	NUM
cuesj-733	113	17	patients	patient	NOUN
cuesj-733	113	18	with	with	ADP
cuesj-733	113	19	heart	heart	NOUN
cuesj-733	113	20	diseases	disease	NOUN
cuesj-733	113	21	,	,	PUNCT
cuesj-733	113	22	and	and	CCONJ
cuesj-733	113	23	the	the	DET
cuesj-733	113	24	two	two	NUM
cuesj-733	113	25	levels	level	NOUN
cuesj-733	113	26	of	of	ADP
cuesj-733	113	27	blood	blood	NOUN
cuesj-733	113	28	pressure	pressure	NOUN
cuesj-733	113	29	;	;	PUNCT
cuesj-733	113	30	high	high	ADJ
cuesj-733	113	31	and	and	CCONJ
cuesj-733	113	32	low	low	ADJ
cuesj-733	113	33	blood	blood	NOUN
cuesj-733	113	34	pressure	pressure	NOUN
cuesj-733	113	35	were	be	AUX
cuesj-733	113	36	taken	take	VERB
cuesj-733	113	37	from	from	ADP
cuesj-733	113	38	patients	patient	NOUN
cuesj-733	113	39	as	as	ADP
cuesj-733	113	40	dependent	dependent	ADJ
cuesj-733	113	41	variables	variable	NOUN
cuesj-733	113	42	and	and	CCONJ
cuesj-733	113	43	the	the	DET
cuesj-733	113	44	variables	variable	NOUN
cuesj-733	113	45	:	:	PUNCT
cuesj-733	113	46	gender	gender	NOUN
cuesj-733	113	47	,	,	PUNCT
cuesj-733	113	48	age	age	NOUN
cuesj-733	113	49	urea	urea	NOUN
cuesj-733	113	50	,	,	PUNCT
cuesj-733	113	51	cholesterol	cholesterol	NOUN
cuesj-733	113	52	,	,	PUNCT
cuesj-733	113	53	creatinine	creatinine	NOUN
cuesj-733	113	54	,	,	PUNCT
cuesj-733	113	55	and	and	CCONJ
cuesj-733	113	56	weight	weight	NOUN
cuesj-733	113	57	as	as	ADP
cuesj-733	113	58	the	the	DET
cuesj-733	113	59	independent	independent	ADJ
cuesj-733	113	60	variables	variable	NOUN
cuesj-733	113	61	(	(	PUNCT
cuesj-733	113	62	table	table	NOUN
cuesj-733	113	63	1	1	NUM
cuesj-733	113	64	)	)	PUNCT
cuesj-733	113	65	.	.	PUNCT
cuesj-733	114	1	the	the	DET
cuesj-733	114	2	researcher	researcher	NOUN
cuesj-733	114	3	set	set	VERB
cuesj-733	114	4	that	that	SCONJ
cuesj-733	114	5	the	the	DET
cuesj-733	114	6	medium	medium	NOUN
cuesj-733	114	7	of	of	ADP
cuesj-733	114	8	blood	blood	NOUN
cuesj-733	114	9	pressure	pressure	NOUN
cuesj-733	114	10	by	by	ADP
cuesj-733	114	11	map	map	NOUN
cuesj-733	114	12	equation	equation	NOUN
cuesj-733	114	13	contains	contain	VERB
cuesj-733	114	14	each	each	DET
cuesj-733	114	15	highest	high	ADJ
cuesj-733	114	16	and	and	CCONJ
cuesj-733	114	17	lowest	low	ADJ
cuesj-733	114	18	blood	blood	NOUN
cuesj-733	114	19	pressure	pressure	NOUN
cuesj-733	114	20	differently	differently	ADV
cuesj-733	114	21	because	because	SCONJ
cuesj-733	114	22	the	the	DET
cuesj-733	114	23	threshold	threshold	NOUN
cuesj-733	114	24	point	point	NOUN
cuesj-733	114	25	was	be	AUX
cuesj-733	114	26	determined	determine	VERB
cuesj-733	114	27	to	to	PART
cuesj-733	114	28	be	be	AUX
cuesj-733	114	29	93.33	93.33	NUM
cuesj-733	114	30	,	,	PUNCT
cuesj-733	114	31	in	in	ADP
cuesj-733	114	32	regards	regard	NOUN
cuesj-733	114	33	,	,	PUNCT
cuesj-733	114	34	the	the	DET
cuesj-733	114	35	dependent	dependent	ADJ
cuesj-733	114	36	variable	variable	NOUN
cuesj-733	114	37	in	in	ADP
cuesj-733	114	38	this	this	DET
cuesj-733	114	39	study	study	NOUN
cuesj-733	114	40	has	have	AUX
cuesj-733	114	41	been	be	AUX
cuesj-733	114	42	defined	define	VERB
cuesj-733	114	43	as	as	ADP
cuesj-733	114	44	:	:	PUNCT
cuesj-733	114	45	y	y	PROPN
cuesj-733	114	46	=	=	PROPN
cuesj-733	114	47	y	y	PROPN
cuesj-733	114	48	*	*	NOUN
cuesj-733	114	49	y*>93.33	y*>93.33	NOUN
cuesj-733	114	50	appropriately	appropriately	ADV
cuesj-733	114	51	,	,	PUNCT
cuesj-733	114	52	the	the	DET
cuesj-733	114	53	limitation	limitation	NOUN
cuesj-733	114	54	threshold	threshold	NOUN
cuesj-733	114	55	point	point	NOUN
cuesj-733	114	56	y	y	PROPN
cuesj-733	114	57	=	=	SYM
cuesj-733	114	58	93.33	93.33	NUM
cuesj-733	114	59	was	be	AUX
cuesj-733	114	60	regarded	regard	VERB
cuesj-733	114	61	the	the	DET
cuesj-733	114	62	limitation	limitation	NOUN
cuesj-733	114	63	threshold	threshold	NOUN
cuesj-733	114	64	point	point	NOUN
cuesj-733	114	65	y	y	PROPN
cuesj-733	114	66	=	=	SYM
cuesj-733	114	67	0	0	PROPN
cuesj-733	114	68	,	,	PUNCT
cuesj-733	114	69	in	in	ADP
cuesj-733	114	70	accordance	accordance	NOUN
cuesj-733	114	71	with	with	ADP
cuesj-733	114	72	the	the	DET
cuesj-733	114	73	stated	state	VERB
cuesj-733	114	74	theoretical	theoretical	ADJ
cuesj-733	114	75	presentation	presentation	NOUN
cuesj-733	114	76	,	,	PUNCT
cuesj-733	114	77	and	and	CCONJ
cuesj-733	114	78	the	the	DET
cuesj-733	114	79	model	model	NOUN
cuesj-733	114	80	will	will	AUX
cuesj-733	114	81	be	be	AUX
cuesj-733	114	82	referred	refer	VERB
cuesj-733	114	83	to	to	ADP
cuesj-733	114	84	as	as	ADP
cuesj-733	114	85	the	the	DET
cuesj-733	114	86	following	following	ADJ
cuesj-733	114	87	model	model	NOUN
cuesj-733	114	88	:	:	PUNCT
cuesj-733	114	89	y	y	PROPN
cuesj-733	114	90	=	=	PROPN
cuesj-733	114	91	y	y	PROPN
cuesj-733	114	92	*	*	PUNCT
cuesj-733	114	93	y*>93.33	y*>93.33	NOUN
cuesj-733	114	94	y=0	y=0	X
cuesj-733	114	95	y*<=93.33	y*<=93.33	DET
cuesj-733	114	96	the	the	DET
cuesj-733	114	97	explanatory	explanatory	ADJ
cuesj-733	114	98	variables	variable	NOUN
cuesj-733	114	99	in	in	ADP
cuesj-733	114	100	this	this	DET
cuesj-733	114	101	study	study	NOUN
cuesj-733	114	102	are	be	AUX
cuesj-733	114	103	the	the	DET
cuesj-733	114	104	follows	follow	NOUN
cuesj-733	114	105	:	:	PUNCT
cuesj-733	114	106	x1	x1	NUM
cuesj-733	114	107	:	:	PUNCT
cuesj-733	114	108	gender	gender	NOUN
cuesj-733	114	109	(	(	PUNCT
cuesj-733	114	110	male	male	ADJ
cuesj-733	114	111	and	and	CCONJ
cuesj-733	114	112	female	female	ADJ
cuesj-733	114	113	)	)	PUNCT
cuesj-733	114	114	x2	x2	NOUN
cuesj-733	114	115	:	:	PUNCT
cuesj-733	114	116	age	age	NOUN
cuesj-733	114	117	measured	measure	VERB
cuesj-733	114	118	by	by	ADP
cuesj-733	114	119	year	year	NOUN
cuesj-733	114	120	x3	x3	ADJ
cuesj-733	114	121	:	:	PUNCT
cuesj-733	114	122	urea	urea	PROPN
cuesj-733	114	123	(	(	PUNCT
cuesj-733	114	124	mg	mg	PROPN
cuesj-733	114	125	/	/	SYM
cuesj-733	114	126	dl	dl	NOUN
cuesj-733	114	127	)	)	PUNCT
cuesj-733	114	128	x4	x4	PROPN
cuesj-733	114	129	:	:	PUNCT
cuesj-733	114	130	cholesterol	cholesterol	NOUN
cuesj-733	114	131	(	(	PUNCT
cuesj-733	114	132	mg	mg	PROPN
cuesj-733	114	133	/	/	SYM
cuesj-733	114	134	dl	dl	NOUN
cuesj-733	114	135	)	)	PUNCT
cuesj-733	114	136	x5	x5	PROPN
cuesj-733	114	137	:	:	PUNCT
cuesj-733	114	138	creatinine	creatinine	NOUN
cuesj-733	114	139	(	(	PUNCT
cuesj-733	114	140	mg	mg	PROPN
cuesj-733	114	141	/	/	SYM
cuesj-733	114	142	dl	dl	NOUN
cuesj-733	114	143	)	)	PUNCT
cuesj-733	114	144	x6	x6	PROPN
cuesj-733	114	145	:	:	PUNCT
cuesj-733	114	146	weight	weight	NOUN
cuesj-733	114	147	measured	measure	VERB
cuesj-733	114	148	by	by	ADP
cuesj-733	114	149	kg	kg	NOUN
cuesj-733	114	150	the	the	DET
cuesj-733	114	151	explanation	explanation	NOUN
cuesj-733	114	152	of	of	ADP
cuesj-733	114	153	the	the	DET
cuesj-733	114	154	variables	variable	NOUN
cuesj-733	114	155	is	be	AUX
cuesj-733	114	156	presented	present	VERB
cuesj-733	114	157	in	in	ADP
cuesj-733	114	158	table	table	NOUN
cuesj-733	114	159	2	2	NUM
cuesj-733	114	160	in	in	ADP
cuesj-733	114	161	which	which	PRON
cuesj-733	114	162	contains	contain	VERB
cuesj-733	114	163	independent	independent	ADJ
cuesj-733	114	164	variables	variable	NOUN
cuesj-733	114	165	and	and	CCONJ
cuesj-733	114	166	dependent	dependent	ADJ
cuesj-733	114	167	variable	variable	NOUN
cuesj-733	114	168	and	and	CCONJ
cuesj-733	114	169	the	the	DET
cuesj-733	114	170	table	table	NOUN
cuesj-733	114	171	views	view	VERB
cuesj-733	114	172	the	the	DET
cuesj-733	114	173	maximum	maximum	ADJ
cuesj-733	114	174	,	,	PUNCT
cuesj-733	114	175	minimum	minimum	ADJ
cuesj-733	114	176	,	,	PUNCT
cuesj-733	114	177	mean	mean	ADJ
cuesj-733	114	178	,	,	PUNCT
cuesj-733	114	179	and	and	CCONJ
cuesj-733	114	180	standard	standard	ADJ
cuesj-733	114	181	deviation	deviation	NOUN
cuesj-733	114	182	of	of	ADP
cuesj-733	114	183	data	datum	NOUN
cuesj-733	114	184	.	.	PUNCT
cuesj-733	115	1	application	application	NOUN
cuesj-733	115	2	of	of	ADP
cuesj-733	115	3	tobit	tobit	PROPN
cuesj-733	115	4	regression	regression	NOUN
cuesj-733	115	5	model	model	NOUN
cuesj-733	115	6	analysis	analysis	NOUN
cuesj-733	115	7	(	(	PUNCT
cuesj-733	115	8	censored	censored	ADJ
cuesj-733	115	9	and	and	CCONJ
cuesj-733	115	10	truncated	truncate	VERB
cuesj-733	115	11	)	)	PUNCT
cuesj-733	115	12	because	because	SCONJ
cuesj-733	115	13	of	of	ADP
cuesj-733	115	14	the	the	DET
cuesj-733	115	15	researcher	researcher	NOUN
cuesj-733	115	16	initially	initially	ADV
cuesj-733	115	17	checked	check	VERB
cuesj-733	115	18	all	all	DET
cuesj-733	115	19	the	the	DET
cuesj-733	115	20	necessary	necessary	ADJ
cuesj-733	115	21	assumptions	assumption	NOUN
cuesj-733	115	22	that	that	PRON
cuesj-733	115	23	must	must	AUX
cuesj-733	115	24	be	be	AUX
cuesj-733	115	25	present	present	ADJ
cuesj-733	115	26	in	in	ADP
cuesj-733	115	27	the	the	DET
cuesj-733	115	28	data	datum	NOUN
cuesj-733	115	29	before	before	ADP
cuesj-733	115	30	starting	start	VERB
cuesj-733	115	31	to	to	PART
cuesj-733	115	32	analyze	analyze	VERB
cuesj-733	115	33	the	the	DET
cuesj-733	115	34	data	datum	NOUN
cuesj-733	115	35	,	,	PUNCT
cuesj-733	115	36	and	and	CCONJ
cuesj-733	115	37	also	also	ADV
cuesj-733	115	38	set	set	VERB
cuesj-733	115	39	a	a	DET
cuesj-733	115	40	unified	unified	ADJ
cuesj-733	115	41	standard	standard	NOUN
cuesj-733	115	42	for	for	ADP
cuesj-733	115	43	the	the	DET
cuesj-733	115	44	data	datum	NOUN
cuesj-733	115	45	in	in	ADP
cuesj-733	115	46	this	this	DET
cuesj-733	115	47	study	study	NOUN
cuesj-733	115	48	,	,	PUNCT
cuesj-733	115	49	it	it	PRON
cuesj-733	115	50	becomes	become	VERB
cuesj-733	115	51	clear	clear	ADJ
cuesj-733	115	52	for	for	ADP
cuesj-733	115	53	us	we	PRON
cuesj-733	115	54	that	that	SCONJ
cuesj-733	115	55	there	there	PRON
cuesj-733	115	56	is	be	VERB
cuesj-733	115	57	no	no	DET
cuesj-733	115	58	problem	problem	NOUN
cuesj-733	115	59	in	in	ADP
cuesj-733	115	60	terms	term	NOUN
cuesj-733	115	61	of	of	ADP
cuesj-733	115	62	our	our	PRON
cuesj-733	115	63	data	datum	NOUN
cuesj-733	115	64	and	and	CCONJ
cuesj-733	115	65	we	we	PRON
cuesj-733	115	66	can	can	AUX
cuesj-733	115	67	use	use	VERB
cuesj-733	115	68	the	the	DET
cuesj-733	115	69	data	datum	NOUN
cuesj-733	115	70	for	for	ADP
cuesj-733	115	71	analyzing	analyze	VERB
cuesj-733	115	72	.	.	PUNCT
cuesj-733	116	1	meran	meran	ADJ
cuesj-733	116	2	and	and	CCONJ
cuesj-733	116	3	sedeeq	sedeeq	NOUN
cuesj-733	116	4	:	:	PUNCT
cuesj-733	116	5	tobit	tobit	NOUN
cuesj-733	116	6	and	and	CCONJ
cuesj-733	116	7	logistic	logistic	ADJ
cuesj-733	116	8	regression	regression	NOUN
cuesj-733	116	9	models	model	NOUN
cuesj-733	116	10	137	137	NUM
cuesj-733	116	11	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	116	12	cuesj	cuesj	ADJ
cuesj-733	116	13	2022	2022	NUM
cuesj-733	116	14	,	,	PUNCT
cuesj-733	116	15	6	6	NUM
cuesj-733	116	16	(	(	PUNCT
cuesj-733	116	17	2	2	NUM
cuesj-733	116	18	):	):	PUNCT
cuesj-733	116	19	133	133	NUM
cuesj-733	116	20	-	-	SYM
cuesj-733	116	21	140	140	NUM
cuesj-733	116	22	censored	censor	VERB
cuesj-733	116	23	regression	regression	NOUN
cuesj-733	116	24	model	model	NOUN
cuesj-733	116	25	first	first	ADV
cuesj-733	116	26	,	,	PUNCT
cuesj-733	116	27	let	let	VERB
cuesj-733	116	28	’s	’s	PRON
cuesj-733	116	29	start	start	VERB
cuesj-733	116	30	with	with	ADP
cuesj-733	116	31	censored	censor	VERB
cuesj-733	116	32	-	-	PUNCT
cuesj-733	116	33	regression	regression	NOUN
cuesj-733	116	34	model	model	NOUN
cuesj-733	116	35	are	be	AUX
cuesj-733	116	36	:	:	PUNCT
cuesj-733	117	1	censored	censored	ADJ
cuesj-733	117	2	(	(	PUNCT
cuesj-733	117	3	formula	formula	NOUN
cuesj-733	117	4	=	=	PUNCT
cuesj-733	117	5	y~	y~	PROPN
cuesj-733	117	6	x	x	NOUN
cuesj-733	117	7	,	,	PUNCT
cuesj-733	117	8	-left	-left	PROPN
cuesj-733	117	9	=	=	SYM
cuesj-733	117	10	0	0	NUM
cuesj-733	117	11	,	,	PUNCT
cuesj-733	117	12	right	right	ADJ
cuesj-733	117	13	=	=	SYM
cuesj-733	117	14	inf	inf	PROPN
cuesj-733	117	15	.	.	PROPN
cuesj-733	117	16	,	,	PUNCT
cuesj-733	117	17	data=	data=	PROPN
cuesj-733	117	18	data	datum	NOUN
cuesj-733	117	19	1	1	NUM
cuesj-733	117	20	)	)	PUNCT
cuesj-733	117	21	total	total	NOUN
cuesj-733	117	22	(	(	PUNCT
cuesj-733	117	23	n	n	NOUN
cuesj-733	117	24	=	=	SYM
cuesj-733	117	25	500	500	NUM
cuesj-733	117	26	observation	observation	NOUN
cuesj-733	117	27	,	,	PUNCT
cuesj-733	117	28	left	leave	VERB
cuesj-733	117	29	censored	censored	ADJ
cuesj-733	117	30	=	=	NOUN
cuesj-733	117	31	132	132	NUM
cuesj-733	117	32	observation	observation	NOUN
cuesj-733	117	33	,	,	PUNCT
cuesj-733	117	34	uncensored	uncensored	ADJ
cuesj-733	117	35	=	=	NOUN
cuesj-733	117	36	368	368	NUM
cuesj-733	117	37	observation	observation	NOUN
cuesj-733	117	38	,	,	PUNCT
cuesj-733	117	39	left	leave	VERB
cuesj-733	117	40	censored	censored	ADJ
cuesj-733	117	41	(	(	PUNCT
cuesj-733	117	42	y	y	X
cuesj-733	117	43	<	<	X
cuesj-733	117	44	99.3	99.3	NUM
cuesj-733	117	45	then	then	ADV
cuesj-733	117	46	y	y	PROPN
cuesj-733	117	47	*	*	PUNCT
cuesj-733	118	1	=	=	NOUN
cuesj-733	118	2	0	0	NUM
cuesj-733	118	3	:	:	PUNCT
cuesj-733	118	4	observation	observation	NOUN
cuesj-733	118	5	)	)	PUNCT
cuesj-733	118	6	.	.	PUNCT
cuesj-733	119	1	table	table	NOUN
cuesj-733	119	2	3	3	NUM
cuesj-733	119	3	presents	present	VERB
cuesj-733	119	4	the	the	DET
cuesj-733	119	5	results	result	NOUN
cuesj-733	119	6	of	of	ADP
cuesj-733	119	7	the	the	DET
cuesj-733	119	8	exact	exact	ADJ
cuesj-733	119	9	regression	regression	NOUN
cuesj-733	119	10	model	model	NOUN
cuesj-733	119	11	.	.	PUNCT
cuesj-733	120	1	the	the	DET
cuesj-733	120	2	coefficients	coefficient	NOUN
cuesj-733	120	3	of	of	ADP
cuesj-733	120	4	the	the	DET
cuesj-733	120	5	independent	independent	ADJ
cuesj-733	120	6	variables	variable	NOUN
cuesj-733	120	7	sex	sex	NOUN
cuesj-733	120	8	,	,	PUNCT
cuesj-733	120	9	age	age	NOUN
cuesj-733	120	10	,	,	PUNCT
cuesj-733	120	11	cholesterol	cholesterol	NOUN
cuesj-733	120	12	,	,	PUNCT
cuesj-733	120	13	creatinine	creatinine	NOUN
cuesj-733	120	14	,	,	PUNCT
cuesj-733	120	15	and	and	CCONJ
cuesj-733	120	16	weight	weight	NOUN
cuesj-733	120	17	are	be	AUX
cuesj-733	120	18	positive	positive	ADJ
cuesj-733	120	19	because	because	SCONJ
cuesj-733	120	20	the	the	DET
cuesj-733	120	21	variables	variable	NOUN
cuesj-733	120	22	have	have	VERB
cuesj-733	120	23	a	a	DET
cuesj-733	120	24	positive	positive	ADJ
cuesj-733	120	25	relationship	relationship	NOUN
cuesj-733	120	26	with	with	ADP
cuesj-733	120	27	the	the	DET
cuesj-733	120	28	dependent	dependent	ADJ
cuesj-733	120	29	variable	variable	NOUN
cuesj-733	120	30	(	(	PUNCT
cuesj-733	120	31	blood	blood	NOUN
cuesj-733	120	32	pressure	pressure	NOUN
cuesj-733	120	33	)	)	PUNCT
cuesj-733	120	34	,	,	PUNCT
cuesj-733	120	35	while	while	SCONJ
cuesj-733	120	36	the	the	DET
cuesj-733	120	37	coefficient	coefficient	NOUN
cuesj-733	120	38	of	of	ADP
cuesj-733	120	39	the	the	DET
cuesj-733	120	40	independent	independent	ADJ
cuesj-733	120	41	variable	variable	ADJ
cuesj-733	120	42	urea	urea	NOUN
cuesj-733	120	43	is	be	AUX
cuesj-733	120	44	negative	negative	ADJ
cuesj-733	120	45	because	because	SCONJ
cuesj-733	120	46	the	the	DET
cuesj-733	120	47	variable	variable	NOUN
cuesj-733	120	48	has	have	VERB
cuesj-733	120	49	a	a	DET
cuesj-733	120	50	negative	negative	ADJ
cuesj-733	120	51	relationship	relationship	NOUN
cuesj-733	120	52	with	with	ADP
cuesj-733	120	53	the	the	DET
cuesj-733	120	54	dependent	dependent	ADJ
cuesj-733	120	55	variable	variable	NOUN
cuesj-733	120	56	(	(	PUNCT
cuesj-733	120	57	blood	blood	NOUN
cuesj-733	120	58	pressure	pressure	NOUN
cuesj-733	120	59	)	)	PUNCT
cuesj-733	120	60	.	.	PUNCT
cuesj-733	121	1	according	accord	VERB
cuesj-733	121	2	to	to	ADP
cuesj-733	121	3	the	the	DET
cuesj-733	121	4	findings	finding	NOUN
cuesj-733	121	5	in	in	ADP
cuesj-733	121	6	table	table	NOUN
cuesj-733	121	7	3	3	NUM
cuesj-733	121	8	,	,	PUNCT
cuesj-733	121	9	the	the	DET
cuesj-733	121	10	variables	variable	NOUN
cuesj-733	121	11	age	age	NOUN
cuesj-733	121	12	,	,	PUNCT
cuesj-733	121	13	cholesterol	cholesterol	NOUN
cuesj-733	121	14	,	,	PUNCT
cuesj-733	121	15	and	and	CCONJ
cuesj-733	121	16	creatinine	creatinine	NOUN
cuesj-733	121	17	all	all	PRON
cuesj-733	121	18	significantly	significantly	ADV
cuesj-733	121	19	affect	affect	VERB
cuesj-733	121	20	blood	blood	NOUN
cuesj-733	121	21	pressure	pressure	NOUN
cuesj-733	121	22	.	.	PUNCT
cuesj-733	122	1	the	the	DET
cuesj-733	122	2	summarized	summarize	VERB
cuesj-733	122	3	fit	fit	NOUN
cuesj-733	122	4	to	to	ADP
cuesj-733	122	5	the	the	DET
cuesj-733	122	6	censored	censor	VERB
cuesj-733	122	7	regression	regression	NOUN
cuesj-733	122	8	model	model	NOUN
cuesj-733	122	9	is	be	AUX
cuesj-733	122	10	log	log	NOUN
cuesj-733	122	11	-	-	PUNCT
cuesj-733	122	12	likelihood	likelihood	NOUN
cuesj-733	123	1	=	=	SYM
cuesj-733	123	2	−2125,549	−2125,549	PROPN
cuesj-733	123	3	,	,	PUNCT
cuesj-733	123	4	aic	aic	PROPN
cuesj-733	123	5	=	=	PROPN
cuesj-733	123	6	4265.1	4265.1	NUM
cuesj-733	123	7	,	,	PUNCT
cuesj-733	123	8	bic	bic	NOUN
cuesj-733	123	9	=	=	SYM
cuesj-733	123	10	4294.6	4294.6	NUM
cuesj-733	123	11	.	.	PUNCT
cuesj-733	124	1	the	the	DET
cuesj-733	124	2	score	score	NOUN
cuesj-733	124	3	for	for	ADP
cuesj-733	124	4	the	the	DET
cuesj-733	124	5	best	good	ADJ
cuesj-733	124	6	model	model	NOUN
cuesj-733	124	7	is	be	AUX
cuesj-733	124	8	determined	determine	VERB
cuesj-733	124	9	by	by	ADP
cuesj-733	124	10	the	the	DET
cuesj-733	124	11	lowest	low	ADJ
cuesj-733	124	12	value	value	NOUN
cuesj-733	124	13	for	for	ADP
cuesj-733	124	14	aic	aic	PROPN
cuesj-733	124	15	and	and	CCONJ
cuesj-733	124	16	bic	bic	PROPN
cuesj-733	124	17	.	.	PUNCT
cuesj-733	125	1	truncated	truncate	VERB
cuesj-733	125	2	regression	regression	NOUN
cuesj-733	125	3	model	model	NOUN
cuesj-733	125	4	in	in	ADP
cuesj-733	125	5	this	this	DET
cuesj-733	125	6	case	case	NOUN
cuesj-733	125	7	,	,	PUNCT
cuesj-733	125	8	the	the	DET
cuesj-733	125	9	number	number	NOUN
cuesj-733	125	10	of	of	ADP
cuesj-733	125	11	observations	observation	NOUN
cuesj-733	125	12	turns	turn	VERB
cuesj-733	125	13	to	to	ADP
cuesj-733	125	14	368	368	NUM
cuesj-733	125	15	due	due	ADP
cuesj-733	125	16	to	to	ADP
cuesj-733	125	17	a	a	DET
cuesj-733	125	18	truncation	truncation	NOUN
cuesj-733	125	19	.	.	PUNCT
cuesj-733	126	1	table	table	NOUN
cuesj-733	126	2	4	4	NUM
cuesj-733	126	3	shows	show	VERB
cuesj-733	126	4	the	the	DET
cuesj-733	126	5	results	result	NOUN
cuesj-733	126	6	from	from	ADP
cuesj-733	126	7	truncated	truncated	ADJ
cuesj-733	126	8	regression	regression	NOUN
cuesj-733	126	9	model	model	NOUN
cuesj-733	126	10	.	.	PUNCT
cuesj-733	127	1	those	those	DET
cuesj-733	127	2	coefficients	coefficient	NOUN
cuesj-733	127	3	of	of	ADP
cuesj-733	127	4	the	the	DET
cuesj-733	127	5	independent	independent	ADJ
cuesj-733	127	6	variables	variable	NOUN
cuesj-733	127	7	such	such	ADJ
cuesj-733	127	8	as	as	ADP
cuesj-733	127	9	gender	gender	NOUN
cuesj-733	127	10	,	,	PUNCT
cuesj-733	127	11	age	age	NOUN
cuesj-733	127	12	,	,	PUNCT
cuesj-733	127	13	cholesterol	cholesterol	NOUN
cuesj-733	127	14	,	,	PUNCT
cuesj-733	127	15	urea	urea	NOUN
cuesj-733	127	16	,	,	PUNCT
cuesj-733	127	17	and	and	CCONJ
cuesj-733	127	18	weight	weight	NOUN
cuesj-733	127	19	are	be	AUX
cuesj-733	127	20	positive	positive	ADJ
cuesj-733	127	21	for	for	ADP
cuesj-733	127	22	the	the	DET
cuesj-733	127	23	reason	reason	NOUN
cuesj-733	127	24	that	that	PRON
cuesj-733	127	25	the	the	DET
cuesj-733	127	26	variables	variable	NOUN
cuesj-733	127	27	take	take	VERB
cuesj-733	127	28	a	a	DET
cuesj-733	127	29	positive	positive	ADJ
cuesj-733	127	30	relationship	relationship	NOUN
cuesj-733	127	31	with	with	ADP
cuesj-733	127	32	the	the	DET
cuesj-733	127	33	dependent	dependent	ADJ
cuesj-733	127	34	variable	variable	NOUN
cuesj-733	127	35	(	(	PUNCT
cuesj-733	127	36	blood	blood	NOUN
cuesj-733	127	37	pressure	pressure	NOUN
cuesj-733	127	38	)	)	PUNCT
cuesj-733	127	39	whereas	whereas	SCONJ
cuesj-733	127	40	the	the	DET
cuesj-733	127	41	coefficient	coefficient	NOUN
cuesj-733	127	42	of	of	ADP
cuesj-733	127	43	the	the	DET
cuesj-733	127	44	independent	independent	ADJ
cuesj-733	127	45	variable	variable	ADJ
cuesj-733	127	46	creatinine	creatinine	NOUN
cuesj-733	127	47	is	be	AUX
cuesj-733	127	48	negative	negative	ADJ
cuesj-733	127	49	because	because	SCONJ
cuesj-733	127	50	has	have	VERB
cuesj-733	127	51	a	a	DET
cuesj-733	127	52	negative	negative	ADJ
cuesj-733	127	53	connection	connection	NOUN
cuesj-733	127	54	with	with	ADP
cuesj-733	127	55	the	the	DET
cuesj-733	127	56	dependent	dependent	ADJ
cuesj-733	127	57	variable	variable	NOUN
cuesj-733	127	58	(	(	PUNCT
cuesj-733	127	59	blood	blood	NOUN
cuesj-733	127	60	pressure	pressure	NOUN
cuesj-733	127	61	)	)	PUNCT
cuesj-733	127	62	.	.	PUNCT
cuesj-733	128	1	it	it	PRON
cuesj-733	128	2	is	be	AUX
cuesj-733	128	3	through	through	ADP
cuesj-733	128	4	the	the	DET
cuesj-733	128	5	conclusion	conclusion	NOUN
cuesj-733	128	6	in	in	ADP
cuesj-733	128	7	table	table	NOUN
cuesj-733	128	8	4	4	NUM
cuesj-733	128	9	that	that	PRON
cuesj-733	128	10	only	only	ADV
cuesj-733	128	11	the	the	DET
cuesj-733	128	12	urea	urea	NOUN
cuesj-733	128	13	variable	variable	NOUN
cuesj-733	128	14	has	have	VERB
cuesj-733	128	15	the	the	DET
cuesj-733	128	16	effect	effect	NOUN
cuesj-733	128	17	on	on	ADP
cuesj-733	128	18	blood	blood	NOUN
cuesj-733	128	19	pressure	pressure	NOUN
cuesj-733	128	20	.	.	PUNCT
cuesj-733	129	1	logistic	logistic	ADJ
cuesj-733	129	2	regression	regression	NOUN
cuesj-733	129	3	analyses	analysis	NOUN
cuesj-733	129	4	in	in	ADP
cuesj-733	129	5	this	this	DET
cuesj-733	129	6	part	part	NOUN
cuesj-733	129	7	,	,	PUNCT
cuesj-733	129	8	we	we	PRON
cuesj-733	129	9	use	use	VERB
cuesj-733	129	10	binary	binary	ADJ
cuesj-733	129	11	logistic	logistic	ADJ
cuesj-733	129	12	regression	regression	NOUN
cuesj-733	129	13	since	since	SCONJ
cuesj-733	129	14	the	the	DET
cuesj-733	129	15	dependent	dependent	ADJ
cuesj-733	129	16	variable	variable	NOUN
cuesj-733	129	17	in	in	ADP
cuesj-733	129	18	this	this	DET
cuesj-733	129	19	study	study	NOUN
cuesj-733	129	20	is	be	AUX
cuesj-733	129	21	blood	blood	NOUN
cuesj-733	129	22	pressure	pressure	NOUN
cuesj-733	129	23	and	and	CCONJ
cuesj-733	129	24	the	the	DET
cuesj-733	129	25	researcher	researcher	NOUN
cuesj-733	129	26	has	have	AUX
cuesj-733	129	27	taken	take	VERB
cuesj-733	129	28	the	the	DET
cuesj-733	129	29	average	average	NOUN
cuesj-733	129	30	of	of	ADP
cuesj-733	129	31	blood	blood	NOUN
cuesj-733	129	32	pressure	pressure	NOUN
cuesj-733	129	33	by	by	ADP
cuesj-733	129	34	map	map	NOUN
cuesj-733	129	35	equation	equation	NOUN
cuesj-733	129	36	which	which	PRON
cuesj-733	129	37	contains	contain	VERB
cuesj-733	129	38	each	each	PRON
cuesj-733	129	39	of	of	ADP
cuesj-733	129	40	the	the	DET
cuesj-733	129	41	high	high	ADJ
cuesj-733	129	42	and	and	CCONJ
cuesj-733	129	43	low	low	ADJ
cuesj-733	129	44	blood	blood	NOUN
cuesj-733	129	45	pressure	pressure	NOUN
cuesj-733	129	46	differently	differently	ADV
cuesj-733	129	47	because	because	SCONJ
cuesj-733	129	48	of	of	ADP
cuesj-733	129	49	the	the	DET
cuesj-733	129	50	threshold	threshold	NOUN
cuesj-733	129	51	points	point	NOUN
cuesj-733	129	52	which	which	PRON
cuesj-733	129	53	was	be	AUX
cuesj-733	129	54	determined	determine	VERB
cuesj-733	129	55	to	to	PART
cuesj-733	129	56	be	be	AUX
cuesj-733	129	57	93.33	93.33	NUM
cuesj-733	129	58	.	.	PUNCT
cuesj-733	130	1	the	the	DET
cuesj-733	130	2	patient	patient	NOUN
cuesj-733	130	3	whose	whose	DET
cuesj-733	130	4	blood	blood	NOUN
cuesj-733	130	5	pressure	pressure	NOUN
cuesj-733	130	6	is	be	AUX
cuesj-733	130	7	>	>	X
cuesj-733	130	8	93.33	93.33	NUM
cuesj-733	130	9	is	be	AUX
cuesj-733	130	10	considered	consider	VERB
cuesj-733	130	11	to	to	PART
cuesj-733	130	12	be	be	AUX
cuesj-733	130	13	infected	infect	VERB
cuesj-733	130	14	and	and	CCONJ
cuesj-733	130	15	takes	take	VERB
cuesj-733	130	16	the	the	DET
cuesj-733	130	17	worth	worth	NOUN
cuesj-733	130	18	of	of	ADP
cuesj-733	130	19	one	one	NUM
cuesj-733	130	20	while	while	SCONJ
cuesj-733	130	21	the	the	DET
cuesj-733	130	22	patient	patient	NOUN
cuesj-733	130	23	whose	whose	DET
cuesj-733	130	24	blood	blood	NOUN
cuesj-733	130	25	pressure	pressure	NOUN
cuesj-733	130	26	is	be	AUX
cuesj-733	130	27	≤93.33	≤93.33	PROPN
cuesj-733	130	28	is	be	AUX
cuesj-733	130	29	considered	consider	VERB
cuesj-733	130	30	to	to	PART
cuesj-733	130	31	be	be	AUX
cuesj-733	130	32	uninfected	uninfected	ADJ
cuesj-733	130	33	and	and	CCONJ
cuesj-733	130	34	takes	take	VERB
cuesj-733	130	35	the	the	DET
cuesj-733	130	36	value	value	NOUN
cuesj-733	130	37	of	of	ADP
cuesj-733	130	38	0	0	NUM
cuesj-733	130	39	,	,	PUNCT
cuesj-733	130	40	and	and	CCONJ
cuesj-733	130	41	the	the	DET
cuesj-733	130	42	other	other	ADJ
cuesj-733	130	43	variables	variable	NOUN
cuesj-733	130	44	are	be	AUX
cuesj-733	130	45	gender	gender	NOUN
cuesj-733	130	46	,	,	PUNCT
cuesj-733	130	47	age	age	NOUN
cuesj-733	130	48	,	,	PUNCT
cuesj-733	130	49	cholesterol	cholesterol	NOUN
cuesj-733	130	50	,	,	PUNCT
cuesj-733	130	51	urea	urea	NOUN
cuesj-733	130	52	,	,	PUNCT
cuesj-733	130	53	creatinine	creatinine	NOUN
cuesj-733	130	54	,	,	PUNCT
cuesj-733	130	55	and	and	CCONJ
cuesj-733	130	56	weight	weight	NOUN
cuesj-733	130	57	.	.	PUNCT
cuesj-733	131	1	y	y	X
cuesj-733	131	2	:	:	PUNCT
cuesj-733	131	3	the	the	DET
cuesj-733	131	4	dependent	dependent	ADJ
cuesj-733	131	5	variable	variable	NOUN
cuesj-733	131	6	has	have	VERB
cuesj-733	131	7	a	a	DET
cuesj-733	131	8	binary	binary	ADJ
cuesj-733	131	9	response	response	NOUN
cuesj-733	131	10	code	code	PROPN
cuesj-733	131	11	:	:	PUNCT
cuesj-733	131	12	y	y	PROPN
cuesj-733	131	13	infected	infect	VERB
cuesj-733	131	14	uninfected	uninfected	ADJ
cuesj-733	131	15	�	�	PROPN
cuesj-733	131	16	�	�	PROPN
cuesj-733	131	17	�	�	PROPN
cuesj-733	131	18	�	�	PROPN
cuesj-733	131	19	1	1	NUM
cuesj-733	131	20	0	0	NUM
cuesj-733	131	21	the	the	DET
cuesj-733	131	22	independent	independent	ADJ
cuesj-733	131	23	variables	variable	NOUN
cuesj-733	131	24	are	be	AUX
cuesj-733	131	25	the	the	DET
cuesj-733	131	26	same	same	ADJ
cuesj-733	131	27	as	as	ADP
cuesj-733	131	28	the	the	DET
cuesj-733	131	29	variables	variable	NOUN
cuesj-733	131	30	written	write	VERB
cuesj-733	131	31	above	above	ADV
cuesj-733	131	32	.	.	PUNCT
cuesj-733	132	1	application	application	NOUN
cuesj-733	132	2	of	of	ADP
cuesj-733	132	3	binary	binary	PROPN
cuesj-733	132	4	logistic	logistic	ADJ
cuesj-733	132	5	regression	regression	NOUN
cuesj-733	132	6	analysis	analysis	NOUN
cuesj-733	132	7	let	let	VERB
cuesj-733	132	8	’s	’s	PRON
cuesj-733	132	9	start	start	VERB
cuesj-733	132	10	with	with	ADP
cuesj-733	132	11	the	the	DET
cuesj-733	132	12	outcome	outcome	NOUN
cuesj-733	132	13	of	of	ADP
cuesj-733	132	14	the	the	DET
cuesj-733	132	15	classification	classification	NOUN
cuesj-733	132	16	table	table	NOUN
cuesj-733	132	17	starting	start	VERB
cuesj-733	132	18	with	with	ADP
cuesj-733	132	19	the	the	DET
cuesj-733	132	20	zero	zero	NUM
cuesj-733	132	21	stage	stage	NOUN
cuesj-733	132	22	in	in	ADP
cuesj-733	132	23	which	which	PRON
cuesj-733	132	24	the	the	DET
cuesj-733	132	25	model	model	NOUN
cuesj-733	132	26	is	be	AUX
cuesj-733	132	27	free	free	ADJ
cuesj-733	132	28	of	of	ADP
cuesj-733	132	29	independent	independent	ADJ
cuesj-733	132	30	variables	variable	NOUN
cuesj-733	132	31	(	(	PUNCT
cuesj-733	132	32	only	only	ADV
cuesj-733	132	33	the	the	DET
cuesj-733	132	34	constant	constant	ADJ
cuesj-733	132	35	)	)	PUNCT
cuesj-733	132	36	.	.	PUNCT
cuesj-733	133	1	table	table	NOUN
cuesj-733	133	2	5	5	NUM
cuesj-733	133	3	represents	represent	VERB
cuesj-733	133	4	the	the	DET
cuesj-733	133	5	baseline	baseline	NOUN
cuesj-733	133	6	model	model	NOUN
cuesj-733	133	7	,	,	PUNCT
cuesj-733	133	8	which	which	PRON
cuesj-733	133	9	is	be	AUX
cuesj-733	133	10	a	a	DET
cuesj-733	133	11	model	model	NOUN
cuesj-733	133	12	without	without	ADP
cuesj-733	133	13	our	our	PRON
cuesj-733	133	14	explanatory	explanatory	ADJ
cuesj-733	133	15	variables	variable	NOUN
cuesj-733	133	16	.	.	PUNCT
cuesj-733	134	1	the	the	DET
cuesj-733	134	2	overall	overall	ADJ
cuesj-733	134	3	right	right	ADJ
cuesj-733	134	4	percentage	percentage	NOUN
cuesj-733	134	5	was	be	AUX
cuesj-733	134	6	73.6	73.6	NUM
cuesj-733	134	7	%	%	NOUN
cuesj-733	134	8	which	which	PRON
cuesj-733	134	9	refers	refer	VERB
cuesj-733	134	10	the	the	DET
cuesj-733	134	11	model	model	NOUN
cuesj-733	134	12	’s	’s	PART
cuesj-733	134	13	overall	overall	ADJ
cuesj-733	134	14	explanatory	explanatory	ADJ
cuesj-733	134	15	strength	strength	NOUN
cuesj-733	134	16	.	.	PUNCT
cuesj-733	135	1	the	the	DET
cuesj-733	135	2	initial	initial	ADJ
cuesj-733	135	3	log	log	NOUN
cuesj-733	135	4	likelihood	likelihood	NOUN
cuesj-733	135	5	function	function	NOUN
cuesj-733	135	6	(	(	PUNCT
cuesj-733	135	7	-2	-2	INTJ
cuesj-733	135	8	log	log	NOUN
cuesj-733	135	9	likelihood	likelihood	NOUN
cuesj-733	135	10	function)=	function)=	PROPN
cuesj-733	135	11	577.2	577.2	NUM
cuesj-733	135	12	.	.	PUNCT
cuesj-733	136	1	omnibus	omnibus	ADJ
cuesj-733	136	2	test	test	NOUN
cuesj-733	136	3	of	of	ADP
cuesj-733	136	4	logistic	logistic	ADJ
cuesj-733	136	5	model	model	NOUN
cuesj-733	136	6	coefficients	coefficient	NOUN
cuesj-733	136	7	based	base	VERB
cuesj-733	136	8	on	on	ADP
cuesj-733	136	9	the	the	DET
cuesj-733	136	10	model	model	NOUN
cuesj-733	136	11	coefficients	coefficient	NOUN
cuesj-733	136	12	in	in	ADP
cuesj-733	136	13	omnibus	omnibus	ADJ
cuesj-733	136	14	tests	test	NOUN
cuesj-733	137	1	,	,	PUNCT
cuesj-733	137	2	we	we	PRON
cuesj-733	137	3	find	find	VERB
cuesj-733	137	4	that	that	SCONJ
cuesj-733	137	5	the	the	DET
cuesj-733	137	6	chi	chi	ADJ
cuesj-733	137	7	-	-	PUNCT
cuesj-733	137	8	square	square	ADJ
cuesj-733	137	9	tests	test	NOUN
cuesj-733	137	10	are	be	AUX
cuesj-733	137	11	to	to	PART
cuesj-733	137	12	illustrate	illustrate	VERB
cuesj-733	137	13	if	if	SCONJ
cuesj-733	137	14	there	there	PRON
cuesj-733	137	15	is	be	VERB
cuesj-733	137	16	an	an	DET
cuesj-733	137	17	important	important	ADJ
cuesj-733	137	18	variance	variance	NOUN
cuesj-733	137	19	between	between	ADP
cuesj-733	137	20	the	the	DET
cuesj-733	137	21	factors	factor	NOUN
cuesj-733	137	22	of	of	ADP
cuesj-733	137	23	the	the	DET
cuesj-733	137	24	nil	nil	NOUN
cuesj-733	137	25	model	model	NOUN
cuesj-733	137	26	and	and	CCONJ
cuesj-733	137	27	the	the	DET
cuesj-733	137	28	current	current	ADJ
cuesj-733	137	29	model	model	NOUN
cuesj-733	137	30	.	.	PUNCT
cuesj-733	138	1	table	table	NOUN
cuesj-733	138	2	2	2	NUM
cuesj-733	138	3	:	:	PUNCT
cuesj-733	138	4	descriptive	descriptive	ADJ
cuesj-733	138	5	statistics	statistic	NOUN
cuesj-733	138	6	of	of	ADP
cuesj-733	138	7	variable	variable	ADJ
cuesj-733	138	8	variables	variable	NOUN
cuesj-733	138	9	minimum	minimum	ADJ
cuesj-733	138	10	maximum	maximum	ADJ
cuesj-733	138	11	mean	mean	NOUN
cuesj-733	138	12	sd	sd	ADP
cuesj-733	138	13	bp	bp	PROPN
cuesj-733	138	14	70.33	70.33	NUM
cuesj-733	138	15	141.00	141.00	NUM
cuesj-733	138	16	101.23	101.23	NUM
cuesj-733	138	17	10.97	10.97	NUM
cuesj-733	138	18	gender	gender	NOUN
cuesj-733	138	19	1	1	NUM
cuesj-733	138	20	2	2	NUM
cuesj-733	138	21	1.33	1.33	NUM
cuesj-733	138	22	0.47	0.47	NUM
cuesj-733	138	23	age	age	NOUN
cuesj-733	138	24	17	17	NUM
cuesj-733	138	25	86	86	NUM
cuesj-733	138	26	57.73	57.73	NUM
cuesj-733	138	27	11.24	11.24	NUM
cuesj-733	138	28	urea	urea	NOUN
cuesj-733	138	29	11	11	NUM
cuesj-733	138	30	198	198	NUM
cuesj-733	138	31	40.11	40.11	NUM
cuesj-733	138	32	20.53	20.53	NUM
cuesj-733	138	33	cholesterol	cholesterol	NOUN
cuesj-733	138	34	63	63	NUM
cuesj-733	138	35	326	326	NUM
cuesj-733	138	36	167.36	167.36	NUM
cuesj-733	138	37	45.02	45.02	NUM
cuesj-733	138	38	creatinine	creatinine	NOUN
cuesj-733	138	39	0.11	0.11	NUM
cuesj-733	138	40	10.70	10.70	NUM
cuesj-733	138	41	1.58	1.58	NUM
cuesj-733	138	42	1.195	1.195	NUM
cuesj-733	138	43	weight	weight	NOUN
cuesj-733	138	44	48	48	NUM
cuesj-733	138	45	135	135	NUM
cuesj-733	138	46	78.83	78.83	NUM
cuesj-733	138	47	13.47	13.47	NUM
cuesj-733	138	48	bp	bp	PROPN
cuesj-733	138	49	:	:	PUNCT
cuesj-733	138	50	blood	blood	NOUN
cuesj-733	138	51	pressure	pressure	NOUN
cuesj-733	138	52	,	,	PUNCT
cuesj-733	138	53	sd	sd	ADP
cuesj-733	138	54	:	:	PUNCT
cuesj-733	138	55	standard	standard	ADJ
cuesj-733	138	56	deviation	deviation	NOUN
cuesj-733	138	57	table	table	NOUN
cuesj-733	138	58	3	3	NUM
cuesj-733	138	59	:	:	PUNCT
cuesj-733	138	60	censored	censor	VERB
cuesj-733	138	61	regression	regression	NOUN
cuesj-733	138	62	model	model	NOUN
cuesj-733	138	63	coefficients	coefficient	NOUN
cuesj-733	138	64	estimate	estimate	VERB
cuesj-733	138	65	se	se	PROPN
cuesj-733	138	66	t	t	PROPN
cuesj-733	138	67	pr	pr	X
cuesj-733	138	68	(	(	PUNCT
cuesj-733	138	69	>	>	NOUN
cuesj-733	138	70	t	t	NOUN
cuesj-733	138	71	)	)	PUNCT
cuesj-733	138	72	constant	constant	ADJ
cuesj-733	138	73	−127.94562	−127.94562	NOUN
cuesj-733	138	74	25.77314	25.77314	NUM
cuesj-733	139	1	−4.964	−4.964	PRON
cuesj-733	139	2	6.89e-07	6.89e-07	NOUN
cuesj-733	139	3	*	*	PUNCT
cuesj-733	139	4	*	*	PUNCT
cuesj-733	139	5	*	*	PUNCT
cuesj-733	139	6	gender	gender	NOUN
cuesj-733	139	7	3.57944	3.57944	NUM
cuesj-733	139	8	5.59007	5.59007	NUM
cuesj-733	139	9	0.640	0.640	NUM
cuesj-733	139	10	0.522	0.522	NUM
cuesj-733	139	11	age	age	NOUN
cuesj-733	139	12	1.91136	1.91136	NUM
cuesj-733	139	13	0.24742	0.24742	NUM
cuesj-733	139	14	7.725	7.725	NUM
cuesj-733	139	15	1.12e-14	1.12e-14	NUM
cuesj-733	139	16	*	*	PUNCT
cuesj-733	139	17	*	*	PUNCT
cuesj-733	139	18	*	*	NOUN
cuesj-733	139	19	cholesterol	cholesterol	NOUN
cuesj-733	139	20	0.25688	0.25688	NUM
cuesj-733	139	21	0.05688	0.05688	NUM
cuesj-733	139	22	4.516	4.516	NUM
cuesj-733	139	23	6.30e-06	6.30e-06	NUM
cuesj-733	139	24	*	*	PUNCT
cuesj-733	139	25	*	*	PUNCT
cuesj-733	139	26	*	*	PUNCT
cuesj-733	139	27	urea	urea	PROPN
cuesj-733	139	28	−0.11037	−0.11037	NUM
cuesj-733	139	29	0.12724	0.12724	NUM
cuesj-733	139	30	−0.867	−0.867	VERB
cuesj-733	139	31	0.386	0.386	NUM
cuesj-733	139	32	creatinine	creatinine	NOUN
cuesj-733	139	33	12.21152	12.21152	NUM
cuesj-733	139	34	2.09200	2.09200	NUM
cuesj-733	139	35	5.837	5.837	NUM
cuesj-733	139	36	5.31e-09	5.31e-09	NUM
cuesj-733	139	37	*	*	NOUN
cuesj-733	139	38	*	*	PUNCT
cuesj-733	139	39	*	*	PUNCT
cuesj-733	139	40	weight	weight	NOUN
cuesj-733	139	41	0.31290	0.31290	NUM
cuesj-733	139	42	0.19800	0.19800	NUM
cuesj-733	139	43	1.580	1.580	NUM
cuesj-733	139	44	0.114	0.114	NUM
cuesj-733	139	45	*	*	PUNCT
cuesj-733	139	46	*	*	PUNCT
cuesj-733	139	47	*	*	PUNCT
cuesj-733	140	1	mean	mean	PROPN
cuesj-733	140	2	p	p	NOUN
cuesj-733	140	3	≤	≤	NOUN
cuesj-733	140	4	0.001	0.001	NUM
cuesj-733	140	5	table	table	NOUN
cuesj-733	140	6	4	4	NUM
cuesj-733	140	7	:	:	PUNCT
cuesj-733	140	8	truncated	truncate	VERB
cuesj-733	140	9	regression	regression	NOUN
cuesj-733	140	10	model	model	NOUN
cuesj-733	140	11	coefficients	coefficient	NOUN
cuesj-733	140	12	estimate	estimate	VERB
cuesj-733	140	13	se	se	PROPN
cuesj-733	140	14	t	t	PROPN
cuesj-733	140	15	pr	pr	X
cuesj-733	140	16	(	(	PUNCT
cuesj-733	140	17	>	>	X
cuesj-733	140	18	t	t	NOUN
cuesj-733	140	19	)	)	PUNCT
cuesj-733	140	20	constant	constant	ADJ
cuesj-733	140	21	98.7995674	98.7995674	NUM
cuesj-733	140	22	4.7143913	4.7143913	NUM
cuesj-733	140	23	20.9570	20.9570	NUM
cuesj-733	140	24	<	<	X
cuesj-733	140	25	2e-16	2e-16	X
cuesj-733	140	26	*	*	PUNCT
cuesj-733	140	27	*	*	PUNCT
cuesj-733	140	28	*	*	PUNCT
cuesj-733	140	29	gender	gender	NOUN
cuesj-733	140	30	0.6703624	0.6703624	NUM
cuesj-733	141	1	0.9215182	0.9215182	NUM
cuesj-733	141	2	0.7275	0.7275	NUM
cuesj-733	141	3	0.46695	0.46695	NUM
cuesj-733	141	4	age	age	NOUN
cuesj-733	141	5	0.0645897	0.0645897	NUM
cuesj-733	141	6	0.0448466	0.0448466	NUM
cuesj-733	141	7	1.4402	1.4402	NUM
cuesj-733	141	8	0.14980	0.14980	NUM
cuesj-733	141	9	cholesterol	cholesterol	NOUN
cuesj-733	141	10	0.0015114	0.0015114	NUM
cuesj-733	141	11	0.0094141	0.0094141	NUM
cuesj-733	141	12	0.1605	0.1605	NUM
cuesj-733	141	13	0.87245	0.87245	NUM
cuesj-733	141	14	urea	urea	NOUN
cuesj-733	141	15	0.0520044	0.0520044	NUM
cuesj-733	141	16	0.0202811	0.0202811	NUM
cuesj-733	141	17	2.5642	2.5642	NUM
cuesj-733	141	18	0.01034	0.01034	NUM
cuesj-733	141	19	*	*	PUNCT
cuesj-733	141	20	creatinine	creatinine	NOUN
cuesj-733	141	21	−0.2198352	−0.2198352	VERB
cuesj-733	142	1	0.3154896	0.3154896	NUM
cuesj-733	142	2	−0.6968	−0.6968	NOUN
cuesj-733	142	3	0.48592	0.48592	NUM
cuesj-733	142	4	weight	weight	NOUN
cuesj-733	142	5	0.0040456	0.0040456	NUM
cuesj-733	142	6	0.0340886	0.0340886	NUM
cuesj-733	142	7	0.1187	0.1187	NUM
cuesj-733	142	8	0.90553	0.90553	NUM
cuesj-733	142	9	se	se	ADJ
cuesj-733	142	10	:	:	PUNCT
cuesj-733	142	11	standard	standard	ADJ
cuesj-733	142	12	error	error	NOUN
cuesj-733	142	13	;	;	PUNCT
cuesj-733	142	14	*	*	PUNCT
cuesj-733	142	15	mean	mean	VERB
cuesj-733	142	16	p	p	X
cuesj-733	142	17	≤	≤	NOUN
cuesj-733	142	18	0.05	0.05	NUM
cuesj-733	142	19	and	and	CCONJ
cuesj-733	142	20	*	*	PUNCT
cuesj-733	142	21	*	*	PUNCT
cuesj-733	142	22	*	*	PUNCT
cuesj-733	142	23	mean	mean	PROPN
cuesj-733	142	24	p	p	NOUN
cuesj-733	142	25	≤	≤	NOUN
cuesj-733	142	26	0.001	0.001	NUM
cuesj-733	142	27	table	table	NOUN
cuesj-733	142	28	5	5	NUM
cuesj-733	142	29	:	:	PUNCT
cuesj-733	142	30	classification	classification	NOUN
cuesj-733	142	31	table	table	NOUN
cuesj-733	142	32	shows	show	VERB
cuesj-733	142	33	that	that	SCONJ
cuesj-733	142	34	the	the	DET
cuesj-733	142	35	model	model	NOUN
cuesj-733	142	36	has	have	VERB
cuesj-733	142	37	a	a	DET
cuesj-733	142	38	constant	constant	ADJ
cuesj-733	142	39	bound	bind	VERB
cuesj-733	142	40	zero	zero	NUM
cuesj-733	142	41	step	step	NOUN
cuesj-733	142	42	observed	observe	VERB
cuesj-733	142	43	predicted	predict	VERB
cuesj-733	142	44	y	y	PROPN
cuesj-733	142	45	percentage	percentage	NOUN
cuesj-733	142	46	correct	correct	ADJ
cuesj-733	142	47	uninfected	uninfected	ADJ
cuesj-733	142	48	infected	infect	VERB
cuesj-733	142	49	step	step	NOUN
cuesj-733	142	50	0	0	NUM
cuesj-733	143	1	y	y	PROPN
cuesj-733	143	2	uninfected	uninfecte	VERB
cuesj-733	143	3	0	0	NUM
cuesj-733	143	4	132	132	NUM
cuesj-733	143	5	0.0	0.0	NUM
cuesj-733	143	6	infected	infect	VERB
cuesj-733	143	7	0	0	NUM
cuesj-733	143	8	368	368	NUM
cuesj-733	143	9	100.0	100.0	NUM
cuesj-733	143	10	overall	overall	ADJ
cuesj-733	143	11	percentage	percentage	NOUN
cuesj-733	143	12	73.6	73.6	NUM
cuesj-733	143	13	meran	meran	ADJ
cuesj-733	143	14	and	and	CCONJ
cuesj-733	143	15	sedeeq	sedeeq	NOUN
cuesj-733	143	16	:	:	PUNCT
cuesj-733	143	17	tobit	tobit	NOUN
cuesj-733	143	18	and	and	CCONJ
cuesj-733	143	19	logistic	logistic	ADJ
cuesj-733	143	20	regression	regression	NOUN
cuesj-733	143	21	models	model	NOUN
cuesj-733	143	22	138	138	NUM
cuesj-733	143	23	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	143	24	cuesj	cuesj	ADJ
cuesj-733	143	25	2022	2022	NUM
cuesj-733	143	26	,	,	PUNCT
cuesj-733	143	27	6	6	NUM
cuesj-733	143	28	(	(	PUNCT
cuesj-733	143	29	2	2	NUM
cuesj-733	143	30	):	):	PUNCT
cuesj-733	143	31	133	133	NUM
cuesj-733	143	32	-	-	SYM
cuesj-733	143	33	140	140	NUM
cuesj-733	143	34	table	table	NOUN
cuesj-733	143	35	6	6	NUM
cuesj-733	143	36	displays	display	NOUN
cuesj-733	143	37	that	that	SCONJ
cuesj-733	143	38	the	the	DET
cuesj-733	143	39	current	current	ADJ
cuesj-733	143	40	model	model	NOUN
cuesj-733	143	41	is	be	AUX
cuesj-733	143	42	meaningfully	meaningfully	ADV
cuesj-733	143	43	more	more	ADV
cuesj-733	143	44	suitable	suitable	ADJ
cuesj-733	143	45	than	than	ADP
cuesj-733	143	46	the	the	DET
cuesj-733	143	47	null	null	ADJ
cuesj-733	143	48	model	model	NOUN
cuesj-733	143	49	.	.	PUNCT
cuesj-733	144	1	model	model	NOUN
cuesj-733	144	2	coefficients	coefficients	PROPN
cuesj-733	144	3	omnibus	omnibus	NOUN
cuesj-733	144	4	test	test	NOUN
cuesj-733	144	5	offers	offer	VERB
cuesj-733	144	6	significant	significant	ADJ
cuesj-733	144	7	reduction	reduction	NOUN
cuesj-733	144	8	in	in	ADP
cuesj-733	144	9	the	the	DET
cuesj-733	144	10	−2	−2	NOUN
cuesj-733	144	11	log	log	NOUN
cuesj-733	144	12	likelihood	likelihood	NOUN
cuesj-733	144	13	value	value	NOUN
cuesj-733	144	14	=	=	SYM
cuesj-733	144	15	426.572=	426.572=	PROPN
cuesj-733	144	16	as	as	SCONJ
cuesj-733	144	17	compared	compare	VERB
cuesj-733	144	18	to	to	ADP
cuesj-733	144	19	−2	−2	PROPN
cuesj-733	144	20	log	log	NOUN
cuesj-733	144	21	likelihood	likelihood	NOUN
cuesj-733	144	22	value	value	NOUN
cuesj-733	144	23	=	=	NOUN
cuesj-733	144	24	577.2	577.2	NUM
cuesj-733	144	25	of	of	ADP
cuesj-733	144	26	the	the	DET
cuesj-733	144	27	null	null	ADJ
cuesj-733	144	28	model	model	NOUN
cuesj-733	144	29	.	.	PUNCT
cuesj-733	145	1	this	this	PRON
cuesj-733	145	2	indicates	indicate	VERB
cuesj-733	145	3	that	that	SCONJ
cuesj-733	145	4	the	the	DET
cuesj-733	145	5	chi	chi	ADJ
cuesj-733	145	6	-	-	PUNCT
cuesj-733	145	7	square	square	ADJ
cuesj-733	145	8	values	value	NOUN
cuesj-733	145	9	for	for	ADP
cuesj-733	145	10	step	step	NOUN
cuesj-733	145	11	,	,	PUNCT
cuesj-733	145	12	block	block	NOUN
cuesj-733	145	13	,	,	PUNCT
cuesj-733	145	14	and	and	CCONJ
cuesj-733	145	15	model	model	NOUN
cuesj-733	145	16	are	be	AUX
cuesj-733	145	17	all	all	DET
cuesj-733	145	18	the	the	DET
cuesj-733	145	19	same	same	ADJ
cuesj-733	145	20	.	.	PUNCT
cuesj-733	146	1	p	p	X
cuesj-733	146	2	<	<	X
cuesj-733	146	3	0.05	0.05	NUM
cuesj-733	146	4	illustrating	illustrate	VERB
cuesj-733	146	5	that	that	SCONJ
cuesj-733	146	6	the	the	DET
cuesj-733	146	7	model	model	NOUN
cuesj-733	146	8	’s	’s	PART
cuesj-733	146	9	accuracy	accuracy	NOUN
cuesj-733	146	10	increases	increase	NOUN
cuesj-733	146	11	when	when	SCONJ
cuesj-733	146	12	explanatory	explanatory	ADJ
cuesj-733	146	13	variables	variable	NOUN
cuesj-733	146	14	are	be	AUX
cuesj-733	146	15	included	include	VERB
cuesj-733	146	16	.	.	PUNCT
cuesj-733	147	1	furthermore	furthermore	ADV
cuesj-733	147	2	,	,	PUNCT
cuesj-733	147	3	the	the	DET
cuesj-733	147	4	chi	chi	NOUN
cuesj-733	147	5	-	-	PUNCT
cuesj-733	147	6	square	square	NOUN
cuesj-733	147	7	is	be	AUX
cuesj-733	147	8	significant	significant	ADJ
cuesj-733	147	9	(	(	PUNCT
cuesj-733	147	10	χ2	χ2	PROPN
cuesj-733	147	11	=	=	SYM
cuesj-733	147	12	150.628	150.628	NUM
cuesj-733	147	13	,	,	PUNCT
cuesj-733	147	14	df	df	NOUN
cuesj-733	147	15	=	=	SYM
cuesj-733	147	16	6	6	NUM
cuesj-733	147	17	,	,	PUNCT
cuesj-733	147	18	p	p	X
cuesj-733	147	19	<	<	X
cuesj-733	147	20	0.05	0.05	NUM
cuesj-733	147	21	)	)	PUNCT
cuesj-733	147	22	.	.	PUNCT
cuesj-733	148	1	as	as	ADP
cuesj-733	148	2	a	a	DET
cuesj-733	148	3	result	result	NOUN
cuesj-733	148	4	,	,	PUNCT
cuesj-733	148	5	our	our	PRON
cuesj-733	148	6	new	new	ADJ
cuesj-733	148	7	model	model	NOUN
cuesj-733	148	8	is	be	AUX
cuesj-733	148	9	bested	best	VERB
cuesj-733	148	10	.	.	PUNCT
cuesj-733	149	1	hosmer	hosmer	NOUN
cuesj-733	149	2	and	and	CCONJ
cuesj-733	149	3	lemeshow	lemeshow	PROPN
cuesj-733	149	4	test	test	NOUN
cuesj-733	149	5	being	be	AUX
cuesj-733	149	6	a	a	DET
cuesj-733	149	7	goodness	goodness	NOUN
cuesj-733	149	8	of	of	ADP
cuesj-733	149	9	fit	fit	ADJ
cuesj-733	149	10	test	test	NOUN
cuesj-733	149	11	for	for	ADP
cuesj-733	149	12	logistic	logistic	ADJ
cuesj-733	149	13	regression	regression	NOUN
cuesj-733	149	14	,	,	PUNCT
cuesj-733	149	15	it	it	PRON
cuesj-733	149	16	fits	fit	VERB
cuesj-733	149	17	the	the	DET
cuesj-733	149	18	data	datum	NOUN
cuesj-733	149	19	model	model	NOUN
cuesj-733	149	20	.	.	PUNCT
cuesj-733	150	1	table	table	NOUN
cuesj-733	150	2	7	7	NUM
cuesj-733	150	3	explains	explain	VERB
cuesj-733	150	4	since	since	SCONJ
cuesj-733	150	5	p	p	NOUN
cuesj-733	150	6	=	=	NOUN
cuesj-733	150	7	0.226	0.226	NUM
cuesj-733	150	8	,	,	PUNCT
cuesj-733	150	9	it	it	PRON
cuesj-733	150	10	is	be	AUX
cuesj-733	150	11	larger	large	ADJ
cuesj-733	150	12	than	than	ADP
cuesj-733	150	13	the	the	DET
cuesj-733	150	14	level	level	NOUN
cuesj-733	150	15	of	of	ADP
cuesj-733	150	16	significance	significance	NOUN
cuesj-733	150	17	at	at	ADP
cuesj-733	150	18	5	5	NUM
cuesj-733	150	19	%	%	NOUN
cuesj-733	150	20	.	.	PUNCT
cuesj-733	151	1	we	we	PRON
cuesj-733	151	2	may	may	AUX
cuesj-733	151	3	well	well	ADV
cuesj-733	151	4	conclude	conclude	VERB
cuesj-733	151	5	that	that	SCONJ
cuesj-733	151	6	the	the	DET
cuesj-733	151	7	data	datum	NOUN
cuesj-733	151	8	are	be	AUX
cuesj-733	151	9	will	will	AUX
cuesj-733	151	10	be	be	AUX
cuesj-733	151	11	suitable	suitable	ADJ
cuesj-733	151	12	to	to	ADP
cuesj-733	151	13	the	the	DET
cuesj-733	151	14	model	model	NOUN
cuesj-733	151	15	.	.	PUNCT
cuesj-733	152	1	cox	cox	PROPN
cuesj-733	152	2	and	and	CCONJ
cuesj-733	152	3	snell	snell	PROPN
cuesj-733	152	4	r2	r2	PROPN
cuesj-733	152	5	,	,	PUNCT
cuesj-733	152	6	nagelkerke	nagelkerke	NOUN
cuesj-733	152	7	’s	’s	PART
cuesj-733	152	8	r2	r2	PROPN
cuesj-733	152	9	the	the	DET
cuesj-733	152	10	cox	cox	PROPN
cuesj-733	152	11	and	and	CCONJ
cuesj-733	152	12	snell	snell	PROPN
cuesj-733	152	13	r2	r2	PROPN
cuesj-733	152	14	,	,	PUNCT
cuesj-733	152	15	nagelkerke	nagelkerke	PROPN
cuesj-733	152	16	’s	’s	PART
cuesj-733	152	17	r2	r2	NOUN
cuesj-733	152	18	values	value	NOUN
cuesj-733	152	19	are	be	AUX
cuesj-733	152	20	utilized	utilize	VERB
cuesj-733	152	21	to	to	PART
cuesj-733	152	22	estimate	estimate	VERB
cuesj-733	152	23	the	the	DET
cuesj-733	152	24	model	model	NOUN
cuesj-733	152	25	’s	’s	PART
cuesj-733	152	26	fit	fit	NOUN
cuesj-733	152	27	to	to	ADP
cuesj-733	152	28	the	the	DET
cuesj-733	152	29	data	datum	NOUN
cuesj-733	152	30	.	.	PUNCT
cuesj-733	153	1	as	as	SCONJ
cuesj-733	153	2	the	the	DET
cuesj-733	153	3	nagelkerke	nagelkerke	NOUN
cuesj-733	153	4	’s	’s	PART
cuesj-733	153	5	r2	r2	NOUN
cuesj-733	153	6	,	,	PUNCT
cuesj-733	153	7	cox	cox	PROPN
cuesj-733	153	8	and	and	CCONJ
cuesj-733	153	9	snell	snell	PROPN
cuesj-733	153	10	r2	r2	PROPN
cuesj-733	153	11	values	value	NOUN
cuesj-733	153	12	given	give	VERB
cuesj-733	153	13	in	in	ADP
cuesj-733	153	14	table	table	NOUN
cuesj-733	153	15	8	8	NUM
cuesj-733	153	16	are	be	AUX
cuesj-733	153	17	examined	examine	VERB
cuesj-733	153	18	,	,	PUNCT
cuesj-733	153	19	the	the	DET
cuesj-733	153	20	ratios	ratio	NOUN
cuesj-733	153	21	of	of	ADP
cuesj-733	153	22	interpretation	interpretation	NOUN
cuesj-733	153	23	of	of	ADP
cuesj-733	153	24	the	the	DET
cuesj-733	153	25	independent	independent	ADJ
cuesj-733	153	26	variables	variable	NOUN
cuesj-733	153	27	over	over	ADP
cuesj-733	153	28	the	the	DET
cuesj-733	153	29	dependent	dependent	ADJ
cuesj-733	153	30	variable	variable	NOUN
cuesj-733	153	31	are	be	AUX
cuesj-733	153	32	shown	show	VERB
cuesj-733	153	33	.	.	PUNCT
cuesj-733	154	1	the	the	DET
cuesj-733	154	2	value	value	NOUN
cuesj-733	154	3	of	of	ADP
cuesj-733	154	4	nagelkerke	nagelkerke	NOUN
cuesj-733	154	5	r2	r2	PROPN
cuesj-733	154	6	is	be	AUX
cuesj-733	154	7	the	the	DET
cuesj-733	154	8	modified	modify	VERB
cuesj-733	154	9	form	form	NOUN
cuesj-733	154	10	for	for	ADP
cuesj-733	154	11	the	the	DET
cuesj-733	154	12	cox	cox	PROPN
cuesj-733	154	13	and	and	CCONJ
cuesj-733	154	14	snell	snell	PROPN
cuesj-733	154	15	r2	r2	PROPN
cuesj-733	154	16	coefficient	coefficient	NOUN
cuesj-733	154	17	.	.	PUNCT
cuesj-733	155	1	giving	give	VERB
cuesj-733	155	2	to	to	ADP
cuesj-733	155	3	the	the	DET
cuesj-733	155	4	outcomes	outcome	NOUN
cuesj-733	155	5	shown	show	VERB
cuesj-733	155	6	in	in	ADP
cuesj-733	155	7	table	table	NOUN
cuesj-733	155	8	8	8	NUM
cuesj-733	155	9	,	,	PUNCT
cuesj-733	155	10	it	it	PRON
cuesj-733	155	11	is	be	AUX
cuesj-733	155	12	seen	see	VERB
cuesj-733	155	13	that	that	SCONJ
cuesj-733	155	14	the	the	DET
cuesj-733	155	15	dependent	dependent	ADJ
cuesj-733	155	16	variables	variable	NOUN
cuesj-733	155	17	determine	determine	VERB
cuesj-733	155	18	26	26	NUM
cuesj-733	155	19	%	%	NOUN
cuesj-733	155	20	of	of	ADP
cuesj-733	155	21	the	the	DET
cuesj-733	155	22	variance	variance	NOUN
cuesj-733	155	23	in	in	ADP
cuesj-733	155	24	the	the	DET
cuesj-733	155	25	independent	independent	ADJ
cuesj-733	155	26	variables	variable	NOUN
cuesj-733	155	27	according	accord	VERB
cuesj-733	155	28	to	to	ADP
cuesj-733	155	29	the	the	DET
cuesj-733	155	30	value	value	NOUN
cuesj-733	155	31	of	of	ADP
cuesj-733	155	32	cox	cox	PROPN
cuesj-733	155	33	and	and	CCONJ
cuesj-733	155	34	snell	snell	PROPN
cuesj-733	155	35	r2	r2	PROPN
cuesj-733	155	36	,	,	PUNCT
cuesj-733	155	37	and	and	CCONJ
cuesj-733	155	38	38	38	NUM
cuesj-733	155	39	%	%	NOUN
cuesj-733	155	40	according	accord	VERB
cuesj-733	155	41	to	to	ADP
cuesj-733	155	42	the	the	DET
cuesj-733	155	43	value	value	NOUN
cuesj-733	155	44	of	of	ADP
cuesj-733	155	45	nagelkerke	nagelkerke	NOUN
cuesj-733	155	46	r2	r2	NOUN
cuesj-733	155	47	.	.	PUNCT
cuesj-733	156	1	the	the	DET
cuesj-733	156	2	amount	amount	NOUN
cuesj-733	156	3	of	of	ADP
cuesj-733	156	4	the	the	DET
cuesj-733	156	5	−2	−2	NOUN
cuesj-733	156	6	log	log	NOUN
cuesj-733	156	7	likelihood	likelihood	NOUN
cuesj-733	156	8	statistic	statistic	NOUN
cuesj-733	156	9	is	be	AUX
cuesj-733	156	10	426.572	426.572	NUM
cuesj-733	156	11	in	in	ADP
cuesj-733	156	12	model	model	NOUN
cuesj-733	156	13	summary	summary	NOUN
cuesj-733	156	14	for	for	ADP
cuesj-733	156	15	the	the	DET
cuesj-733	156	16	whole	whole	ADJ
cuesj-733	156	17	model	model	NOUN
cuesj-733	156	18	.	.	PUNCT
cuesj-733	157	1	table	table	NOUN
cuesj-733	157	2	9	9	NUM
cuesj-733	157	3	is	be	AUX
cuesj-733	157	4	corresponding	correspond	VERB
cuesj-733	157	5	to	to	ADP
cuesj-733	157	6	table	table	NOUN
cuesj-733	157	7	5	5	NUM
cuesj-733	158	1	but	but	CCONJ
cuesj-733	158	2	it	it	PRON
cuesj-733	158	3	is	be	AUX
cuesj-733	158	4	based	base	VERB
cuesj-733	158	5	on	on	ADP
cuesj-733	158	6	the	the	DET
cuesj-733	158	7	model	model	NOUN
cuesj-733	158	8	that	that	PRON
cuesj-733	158	9	contains	contain	VERB
cuesj-733	158	10	our	our	PRON
cuesj-733	158	11	explanatory	explanatory	ADJ
cuesj-733	158	12	variables	variable	NOUN
cuesj-733	158	13	.	.	PUNCT
cuesj-733	159	1	the	the	DET
cuesj-733	159	2	total	total	ADJ
cuesj-733	159	3	percentage	percentage	NOUN
cuesj-733	159	4	of	of	ADP
cuesj-733	159	5	correct	correct	ADJ
cuesj-733	159	6	was	be	AUX
cuesj-733	159	7	79.2	79.2	NUM
cuesj-733	159	8	%	%	NOUN
cuesj-733	159	9	which	which	PRON
cuesj-733	159	10	replicates	replicate	VERB
cuesj-733	159	11	the	the	DET
cuesj-733	159	12	model	model	NOUN
cuesj-733	159	13	’s	’s	PART
cuesj-733	159	14	overall	overall	ADJ
cuesj-733	159	15	explanatory	explanatory	ADJ
cuesj-733	159	16	strength	strength	NOUN
cuesj-733	159	17	.	.	PUNCT
cuesj-733	160	1	classification	classification	NOUN
cuesj-733	160	2	table	table	NOUN
cuesj-733	160	3	contains	contain	VERB
cuesj-733	160	4	the	the	DET
cuesj-733	160	5	constant	constant	ADJ
cuesj-733	160	6	term	term	NOUN
cuesj-733	160	7	and	and	CCONJ
cuesj-733	160	8	the	the	DET
cuesj-733	160	9	rest	rest	NOUN
cuesj-733	160	10	of	of	ADP
cuesj-733	160	11	the	the	DET
cuesj-733	160	12	predictors	predictor	NOUN
cuesj-733	160	13	,	,	PUNCT
cuesj-733	160	14	that	that	ADV
cuesj-733	160	15	is	is	ADV
cuesj-733	160	16	,	,	PUNCT
cuesj-733	160	17	91.6	91.6	NUM
cuesj-733	160	18	%	%	NOUN
cuesj-733	160	19	were	be	AUX
cuesj-733	160	20	correct	correct	ADJ
cuesj-733	160	21	for	for	ADP
cuesj-733	160	22	the	the	DET
cuesj-733	160	23	infected	infected	NOUN
cuesj-733	160	24	of	of	ADP
cuesj-733	160	25	blood	blood	NOUN
cuesj-733	160	26	pressure	pressure	NOUN
cuesj-733	160	27	and	and	CCONJ
cuesj-733	160	28	correctly	correctly	ADV
cuesj-733	160	29	classified	classified	ADJ
cuesj-733	160	30	.	.	PUNCT
cuesj-733	161	1	this	this	DET
cuesj-733	161	2	table	table	NOUN
cuesj-733	161	3	shows	show	VERB
cuesj-733	161	4	how	how	SCONJ
cuesj-733	161	5	many	many	ADJ
cuesj-733	161	6	events	event	NOUN
cuesj-733	161	7	were	be	AUX
cuesj-733	161	8	correctly	correctly	ADV
cuesj-733	161	9	predicted	predict	VERB
cuesj-733	161	10	(	(	PUNCT
cuesj-733	161	11	59	59	NUM
cuesj-733	161	12	cases	case	NOUN
cuesj-733	161	13	were	be	AUX
cuesj-733	161	14	observed	observe	VERB
cuesj-733	161	15	to	to	PART
cuesj-733	161	16	be	be	AUX
cuesj-733	161	17	uninfected	uninfected	ADJ
cuesj-733	161	18	and	and	CCONJ
cuesj-733	161	19	were	be	AUX
cuesj-733	161	20	correctly	correctly	ADV
cuesj-733	161	21	predicted	predict	VERB
cuesj-733	161	22	to	to	PART
cuesj-733	161	23	be	be	AUX
cuesj-733	161	24	uninfected	uninfected	ADJ
cuesj-733	161	25	;	;	PUNCT
cuesj-733	161	26	337	337	NUM
cuesj-733	161	27	cases	case	NOUN
cuesj-733	161	28	were	be	AUX
cuesj-733	161	29	observed	observe	VERB
cuesj-733	161	30	to	to	PART
cuesj-733	161	31	be	be	AUX
cuesj-733	161	32	infected	infect	VERB
cuesj-733	161	33	and	and	CCONJ
cuesj-733	161	34	were	be	AUX
cuesj-733	161	35	correctly	correctly	ADV
cuesj-733	161	36	predicted	predict	VERB
cuesj-733	161	37	to	to	PART
cuesj-733	161	38	be	be	AUX
cuesj-733	161	39	infected	infect	VERB
cuesj-733	161	40	)	)	PUNCT
cuesj-733	161	41	and	and	CCONJ
cuesj-733	161	42	how	how	SCONJ
cuesj-733	161	43	many	many	ADJ
cuesj-733	161	44	were	be	AUX
cuesj-733	161	45	not	not	PART
cuesj-733	161	46	(	(	PUNCT
cuesj-733	161	47	73	73	NUM
cuesj-733	161	48	cases	case	NOUN
cuesj-733	161	49	are	be	AUX
cuesj-733	161	50	observed	observe	VERB
cuesj-733	161	51	to	to	PART
cuesj-733	161	52	be	be	AUX
cuesj-733	161	53	uninfected	uninfected	ADJ
cuesj-733	161	54	but	but	CCONJ
cuesj-733	161	55	are	be	AUX
cuesj-733	161	56	predicted	predict	VERB
cuesj-733	161	57	to	to	PART
cuesj-733	161	58	be	be	AUX
cuesj-733	161	59	infected	infect	VERB
cuesj-733	161	60	;	;	PUNCT
cuesj-733	161	61	31	31	NUM
cuesj-733	161	62	cases	case	NOUN
cuesj-733	161	63	are	be	AUX
cuesj-733	161	64	observed	observe	VERB
cuesj-733	161	65	to	to	PART
cuesj-733	161	66	be	be	AUX
cuesj-733	161	67	infected	infect	VERB
cuesj-733	161	68	but	but	CCONJ
cuesj-733	161	69	are	be	AUX
cuesj-733	161	70	predicted	predict	VERB
cuesj-733	161	71	to	to	PART
cuesj-733	161	72	be	be	AUX
cuesj-733	161	73	uninfected	uninfected	ADJ
cuesj-733	161	74	)	)	PUNCT
cuesj-733	161	75	.	.	PUNCT
cuesj-733	162	1	variables	variable	NOUN
cuesj-733	162	2	in	in	ADP
cuesj-733	162	3	the	the	DET
cuesj-733	162	4	equation	equation	NOUN
cuesj-733	162	5	logistic	logistic	ADJ
cuesj-733	162	6	-	-	PUNCT
cuesj-733	162	7	regression	regression	NOUN
cuesj-733	162	8	model	model	NOUN
cuesj-733	162	9	the	the	DET
cuesj-733	162	10	variables	variable	NOUN
cuesj-733	162	11	in	in	ADP
cuesj-733	162	12	the	the	DET
cuesj-733	162	13	equation	equation	NOUN
cuesj-733	162	14	logistic	logistic	ADJ
cuesj-733	162	15	regression	regression	NOUN
cuesj-733	162	16	are	be	AUX
cuesj-733	162	17	the	the	DET
cuesj-733	162	18	most	most	ADV
cuesj-733	162	19	essential	essential	ADJ
cuesj-733	162	20	of	of	ADP
cuesj-733	162	21	all	all	DET
cuesj-733	162	22	the	the	DET
cuesj-733	162	23	outputs	output	NOUN
cuesj-733	162	24	.	.	PUNCT
cuesj-733	163	1	this	this	DET
cuesj-733	163	2	table	table	NOUN
cuesj-733	163	3	must	must	AUX
cuesj-733	163	4	be	be	AUX
cuesj-733	163	5	studied	study	VERB
cuesj-733	163	6	carefully	carefully	ADV
cuesj-733	163	7	since	since	SCONJ
cuesj-733	163	8	it	it	PRON
cuesj-733	163	9	contains	contain	VERB
cuesj-733	163	10	the	the	DET
cuesj-733	163	11	answers	answer	NOUN
cuesj-733	163	12	to	to	ADP
cuesj-733	163	13	our	our	PRON
cuesj-733	163	14	questions	question	NOUN
cuesj-733	163	15	about	about	ADP
cuesj-733	163	16	the	the	DET
cuesj-733	163	17	common	common	ADJ
cuesj-733	163	18	relationship	relationship	NOUN
cuesj-733	163	19	between	between	ADP
cuesj-733	163	20	all	all	DET
cuesj-733	163	21	variables	variable	NOUN
cuesj-733	163	22	.	.	PUNCT
cuesj-733	164	1	table	table	NOUN
cuesj-733	164	2	10	10	NUM
cuesj-733	164	3	shows	show	VERB
cuesj-733	164	4	the	the	DET
cuesj-733	164	5	values	value	NOUN
cuesj-733	164	6	of	of	ADP
cuesj-733	164	7	wald	wald	NOUN
cuesj-733	164	8	test	test	NOUN
cuesj-733	164	9	that	that	PRON
cuesj-733	164	10	represents	represent	VERB
cuesj-733	164	11	the	the	DET
cuesj-733	164	12	parameter	parameter	NOUN
cuesj-733	164	13	of	of	ADP
cuesj-733	164	14	the	the	DET
cuesj-733	164	15	test	test	NOUN
cuesj-733	164	16	value	value	NOUN
cuesj-733	164	17	of	of	ADP
cuesj-733	164	18	the	the	DET
cuesj-733	164	19	model	model	NOUN
cuesj-733	164	20	and	and	CCONJ
cuesj-733	164	21	it	it	PRON
cuesj-733	164	22	appears	appear	VERB
cuesj-733	164	23	that	that	SCONJ
cuesj-733	164	24	the	the	DET
cuesj-733	164	25	variables	variable	NOUN
cuesj-733	164	26	(	(	PUNCT
cuesj-733	164	27	age	age	NOUN
cuesj-733	164	28	,	,	PUNCT
cuesj-733	164	29	urea	urea	NOUN
cuesj-733	164	30	cholesterol	cholesterol	NOUN
cuesj-733	164	31	,	,	PUNCT
cuesj-733	164	32	and	and	CCONJ
cuesj-733	164	33	creatinine	creatinine	NOUN
cuesj-733	164	34	)	)	PUNCT
cuesj-733	164	35	represent	represent	VERB
cuesj-733	164	36	the	the	DET
cuesj-733	164	37	significant	significant	ADJ
cuesj-733	164	38	variables	variable	NOUN
cuesj-733	164	39	in	in	ADP
cuesj-733	164	40	the	the	DET
cuesj-733	164	41	research	research	NOUN
cuesj-733	164	42	.	.	PUNCT
cuesj-733	165	1	it	it	PRON
cuesj-733	165	2	is	be	AUX
cuesj-733	165	3	by	by	ADP
cuesj-733	165	4	associating	associate	VERB
cuesj-733	165	5	the	the	DET
cuesj-733	165	6	p	p	NOUN
cuesj-733	165	7	-	-	PUNCT
cuesj-733	165	8	value	value	NOUN
cuesj-733	165	9	with	with	ADP
cuesj-733	165	10	the	the	DET
cuesj-733	165	11	level	level	NOUN
cuesj-733	165	12	of	of	ADP
cuesj-733	165	13	significant	significant	ADJ
cuesj-733	165	14	(	(	PUNCT
cuesj-733	165	15	0.05	0.05	NUM
cuesj-733	165	16	)	)	PUNCT
cuesj-733	165	17	that	that	SCONJ
cuesj-733	165	18	the	the	DET
cuesj-733	165	19	p	p	NOUN
cuesj-733	165	20	-	-	PUNCT
cuesj-733	165	21	value	value	NOUN
cuesj-733	165	22	represents	represent	VERB
cuesj-733	165	23	the	the	DET
cuesj-733	165	24	significance	significance	NOUN
cuesj-733	165	25	of	of	ADP
cuesj-733	165	26	the	the	DET
cuesj-733	165	27	effect	effect	NOUN
cuesj-733	165	28	of	of	ADP
cuesj-733	165	29	the	the	DET
cuesj-733	165	30	variable	variable	NOUN
cuesj-733	165	31	on	on	ADP
cuesj-733	165	32	the	the	DET
cuesj-733	165	33	patient	patient	NOUN
cuesj-733	165	34	condition	condition	NOUN
cuesj-733	165	35	,	,	PUNCT
cuesj-733	165	36	that	that	ADV
cuesj-733	165	37	is	is	ADV
cuesj-733	165	38	,	,	PUNCT
cuesj-733	165	39	it	it	PRON
cuesj-733	165	40	is	be	AUX
cuesj-733	165	41	significant	significant	ADJ
cuesj-733	165	42	when	when	SCONJ
cuesj-733	165	43	p	p	PROPN
cuesj-733	165	44	<	<	X
cuesj-733	165	45	0.05	0.05	NUM
cuesj-733	165	46	was	be	AUX
cuesj-733	165	47	considered	consider	VERB
cuesj-733	165	48	for	for	ADP
cuesj-733	165	49	the	the	DET
cuesj-733	165	50	variable	variable	NOUN
cuesj-733	165	51	under	under	ADP
cuesj-733	165	52	test	test	NOUN
cuesj-733	165	53	.	.	PUNCT
cuesj-733	166	1	it	it	PRON
cuesj-733	166	2	shows	show	VERB
cuesj-733	166	3	that	that	SCONJ
cuesj-733	166	4	the	the	DET
cuesj-733	166	5	variables	variable	NOUN
cuesj-733	166	6	(	(	PUNCT
cuesj-733	166	7	gender	gender	NOUN
cuesj-733	166	8	and	and	CCONJ
cuesj-733	166	9	weight	weight	NOUN
cuesj-733	166	10	)	)	PUNCT
cuesj-733	166	11	are	be	AUX
cuesj-733	166	12	not	not	PART
cuesj-733	166	13	significant	significant	ADJ
cuesj-733	166	14	variables	variable	NOUN
cuesj-733	166	15	in	in	ADP
cuesj-733	166	16	the	the	DET
cuesj-733	166	17	study	study	NOUN
cuesj-733	166	18	,	,	PUNCT
cuesj-733	166	19	and	and	CCONJ
cuesj-733	166	20	it	it	PRON
cuesj-733	166	21	is	be	AUX
cuesj-733	166	22	through	through	ADP
cuesj-733	166	23	comparing	compare	VERB
cuesj-733	166	24	the	the	DET
cuesj-733	166	25	p	p	NOUN
cuesj-733	166	26	-	-	PUNCT
cuesj-733	166	27	value	value	NOUN
cuesj-733	166	28	with	with	ADP
cuesj-733	166	29	the	the	DET
cuesj-733	166	30	level	level	NOUN
cuesj-733	166	31	of	of	ADP
cuesj-733	166	32	significant	significant	ADJ
cuesj-733	166	33	(	(	PUNCT
cuesj-733	166	34	0.05	0.05	NUM
cuesj-733	166	35	)	)	PUNCT
cuesj-733	166	36	that	that	SCONJ
cuesj-733	166	37	the	the	DET
cuesj-733	166	38	p	p	NOUN
cuesj-733	166	39	-	-	PUNCT
cuesj-733	166	40	value	value	NOUN
cuesj-733	166	41	represents	represent	VERB
cuesj-733	166	42	the	the	DET
cuesj-733	166	43	non	non	ADJ
cuesj-733	166	44	-	-	NOUN
cuesj-733	166	45	significance	significance	NOUN
cuesj-733	166	46	of	of	ADP
cuesj-733	166	47	the	the	DET
cuesj-733	166	48	effect	effect	NOUN
cuesj-733	166	49	of	of	ADP
cuesj-733	166	50	the	the	DET
cuesj-733	166	51	variables	variable	NOUN
cuesj-733	166	52	on	on	ADP
cuesj-733	166	53	the	the	DET
cuesj-733	166	54	patient	patient	NOUN
cuesj-733	166	55	condition	condition	NOUN
cuesj-733	166	56	,	,	PUNCT
cuesj-733	166	57	that	that	ADV
cuesj-733	166	58	is	is	ADV
cuesj-733	166	59	,	,	PUNCT
cuesj-733	166	60	it	it	PRON
cuesj-733	166	61	is	be	AUX
cuesj-733	166	62	no	no	DET
cuesj-733	166	63	significant	significant	ADJ
cuesj-733	166	64	when	when	SCONJ
cuesj-733	166	65	p	p	PROPN
cuesj-733	166	66	>	>	X
cuesj-733	166	67	0.05	0.05	NUM
cuesj-733	166	68	was	be	AUX
cuesj-733	166	69	considered	consider	VERB
cuesj-733	166	70	.	.	PUNCT
cuesj-733	167	1	as	as	ADV
cuesj-733	167	2	far	far	ADV
cuesj-733	167	3	as	as	SCONJ
cuesj-733	167	4	table	table	NOUN
cuesj-733	167	5	10	10	NUM
cuesj-733	167	6	is	be	AUX
cuesj-733	167	7	concerned	concern	VERB
cuesj-733	167	8	,	,	PUNCT
cuesj-733	167	9	the	the	DET
cuesj-733	167	10	logistic	logistic	ADJ
cuesj-733	167	11	computation	computation	NOUN
cuesj-733	167	12	coefficients	coefficient	NOUN
cuesj-733	167	13	that	that	PRON
cuesj-733	167	14	may	may	AUX
cuesj-733	167	15	be	be	AUX
cuesj-733	167	16	utilized	utilize	VERB
cuesj-733	167	17	to	to	PART
cuesj-733	167	18	build	build	VERB
cuesj-733	167	19	a	a	DET
cuesj-733	167	20	predictive	predictive	ADJ
cuesj-733	167	21	equation	equation	NOUN
cuesj-733	167	22	could	could	AUX
cuesj-733	167	23	be	be	AUX
cuesj-733	167	24	:	:	PUNCT
cuesj-733	167	25	y	y	PROPN
cuesj-733	167	26	�	�	PROPN
cuesj-733	167	27	�	�	PROPN
cuesj-733	167	28	�	�	PROPN
cuesj-733	167	29	�	�	PROPN
cuesj-733	167	30	�	�	PROPN
cuesj-733	167	31	�	�	PROPN
cuesj-733	167	32	�	�	PROPN
cuesj-733	167	33	�	�	PROPN
cuesj-733	167	34	�	�	PROPN
cuesj-733	167	35	�	�	PROPN
cuesj-733	167	36	�	�	PROPN
cuesj-733	167	37	�	�	PROPN
cuesj-733	167	38	�	�	PROPN
cuesj-733	167	39	�	�	PROPN
cuesj-733	167	40	�	�	PROPN
cuesj-733	167	41	�	�	PROPN
cuesj-733	167	42	�	�	PROPN
cuesj-733	167	43	�	�	PROPN
cuesj-733	167	44	�	�	PROPN
cuesj-733	167	45	log	log	VERB
cuesj-733	167	46	p	p	NOUN
cuesj-733	167	47	x	x	X
cuesj-733	167	48	p	p	X
cuesj-733	167	49	x	x	X
cuesj-733	167	50	x	x	SYM
cuesj-733	167	51	x	x	SYM
cuesj-733	167	52	xk	xk	PROPN
cuesj-733	167	53	k1	k1	PROPN
cuesj-733	167	54	1	1	NUM
cuesj-733	167	55	1	1	NUM
cuesj-733	167	56	2	2	NUM
cuesj-733	167	57	2	2	NUM
cuesj-733	167	58	�	�	PROPN
cuesj-733	167	59	�	�	PROPN
cuesj-733	167	60	�	�	PROPN
cuesj-733	167	61	�	�	PROPN
cuesj-733	167	62	the	the	DET
cuesj-733	167	63	effect	effect	NOUN
cuesj-733	167	64	factors	factor	VERB
cuesj-733	167	65	for	for	ADP
cuesj-733	167	66	blood	blood	NOUN
cuesj-733	167	67	pressure	pressure	NOUN
cuesj-733	167	68	in	in	ADP
cuesj-733	167	69	cardiac	cardiac	ADJ
cuesj-733	167	70	patients	patient	NOUN
cuesj-733	167	71	can	can	AUX
cuesj-733	167	72	be	be	AUX
cuesj-733	167	73	ranked	rank	VERB
cuesj-733	167	74	as	as	ADP
cuesj-733	167	75	follows	follow	VERB
cuesj-733	167	76	based	base	VERB
cuesj-733	167	77	on	on	ADP
cuesj-733	167	78	the	the	DET
cuesj-733	167	79	value	value	NOUN
cuesj-733	167	80	of	of	ADP
cuesj-733	167	81	the	the	DET
cuesj-733	167	82	odds	odd	NOUN
cuesj-733	167	83	ratio	ratio	NOUN
cuesj-733	167	84	.	.	PUNCT
cuesj-733	168	1	likewise	likewise	ADV
cuesj-733	168	2	,	,	PUNCT
cuesj-733	168	3	we	we	PRON
cuesj-733	168	4	can	can	AUX
cuesj-733	168	5	write	write	VERB
cuesj-733	168	6	the	the	DET
cuesj-733	168	7	logistic	logistic	ADJ
cuesj-733	168	8	regression	regression	NOUN
cuesj-733	168	9	computation	computation	NOUN
cuesj-733	168	10	with	with	ADP
cuesj-733	168	11	just	just	ADV
cuesj-733	168	12	significant	significant	ADJ
cuesj-733	168	13	variables	variable	NOUN
cuesj-733	168	14	:	:	PUNCT
cuesj-733	168	15	logistic	logistic	ADJ
cuesj-733	168	16	equation	equation	NOUN
cuesj-733	168	17	(	(	PUNCT
cuesj-733	168	18	model	model	NOUN
cuesj-733	168	19	):	):	PUNCT
cuesj-733	168	20	y	y	PROPN
cuesj-733	168	21	=	=	PUNCT
cuesj-733	168	22	−7.689	−7.689	VERB
cuesj-733	168	23	+	+	CCONJ
cuesj-733	168	24	0.080	0.080	NUM
cuesj-733	168	25	age	age	NOUN
cuesj-733	168	26	0.016	0.016	NUM
cuesj-733	168	27	urea	urea	NOUN
cuesj-733	168	28	+	+	CCONJ
cuesj-733	168	29	0.013	0.013	NUM
cuesj-733	168	30	cholesterol	cholesterol	NOUN
cuesj-733	168	31	+	+	CCONJ
cuesj-733	168	32	1.451	1.451	NUM
cuesj-733	168	33	creatinine	creatinine	NOUN
cuesj-733	168	34	table	table	NOUN
cuesj-733	168	35	10	10	NUM
cuesj-733	168	36	shows	show	NOUN
cuesj-733	168	37	,	,	PUNCT
cuesj-733	168	38	exp(β	exp(β	PROPN
cuesj-733	168	39	)	)	PUNCT
cuesj-733	168	40	=	=	PUNCT
cuesj-733	168	41	eb	eb	PROPN
cuesj-733	168	42	represents	represent	VERB
cuesj-733	168	43	the	the	DET
cuesj-733	168	44	ratio	ratio	NOUN
cuesj-733	168	45	changed	change	VERB
cuesj-733	168	46	in	in	ADP
cuesj-733	168	47	the	the	DET
cuesj-733	168	48	odds	odd	NOUN
cuesj-733	168	49	of	of	ADP
cuesj-733	168	50	the	the	DET
cuesj-733	168	51	event	event	NOUN
cuesj-733	168	52	of	of	ADP
cuesj-733	168	53	importance	importance	NOUN
cuesj-733	168	54	for	for	ADP
cuesj-733	168	55	a	a	DET
cuesj-733	168	56	one	one	NUM
cuesj-733	168	57	unit	unit	NOUN
cuesj-733	168	58	variation	variation	NOUN
cuesj-733	168	59	in	in	ADP
cuesj-733	168	60	the	the	DET
cuesj-733	168	61	predictor	predictor	NOUN
cuesj-733	168	62	.	.	PUNCT
cuesj-733	169	1	the	the	DET
cuesj-733	169	2	value	value	NOUN
cuesj-733	169	3	of	of	ADP
cuesj-733	169	4	exp(β	exp(β	PROPN
cuesj-733	169	5	)	)	PUNCT
cuesj-733	169	6	for	for	ADP
cuesj-733	169	7	the	the	DET
cuesj-733	169	8	variable	variable	ADJ
cuesj-733	169	9	gender	gender	NOUN
cuesj-733	169	10	indicates	indicate	VERB
cuesj-733	169	11	that	that	SCONJ
cuesj-733	169	12	when	when	SCONJ
cuesj-733	169	13	the	the	DET
cuesj-733	169	14	gender	gender	NOUN
cuesj-733	169	15	changes	change	VERB
cuesj-733	169	16	from	from	ADP
cuesj-733	169	17	the	the	DET
cuesj-733	169	18	value	value	NOUN
cuesj-733	169	19	0	0	NUM
cuesj-733	169	20	(	(	PUNCT
cuesj-733	169	21	female	female	NOUN
cuesj-733	169	22	)	)	PUNCT
cuesj-733	169	23	to	to	ADP
cuesj-733	169	24	the	the	DET
cuesj-733	169	25	value	value	NOUN
cuesj-733	169	26	1	1	NUM
cuesj-733	169	27	(	(	PUNCT
cuesj-733	169	28	male	male	NOUN
cuesj-733	169	29	)	)	PUNCT
cuesj-733	169	30	,	,	PUNCT
cuesj-733	169	31	the	the	DET
cuesj-733	169	32	probability	probability	NOUN
cuesj-733	169	33	of	of	ADP
cuesj-733	169	34	disease	disease	NOUN
cuesj-733	169	35	blood	blood	NOUN
cuesj-733	169	36	pressure	pressure	NOUN
cuesj-733	169	37	in	in	ADP
cuesj-733	169	38	patients	patient	NOUN
cuesj-733	169	39	with	with	ADP
cuesj-733	169	40	heart	heart	NOUN
cuesj-733	169	41	disease	disease	NOUN
cuesj-733	169	42	increases	increase	VERB
cuesj-733	169	43	because	because	SCONJ
cuesj-733	169	44	the	the	DET
cuesj-733	169	45	value	value	NOUN
cuesj-733	169	46	of	of	ADP
cuesj-733	169	47	exp(β	exp(β	NOUN
cuesj-733	169	48	)	)	PUNCT
cuesj-733	169	49	is	be	AUX
cuesj-733	169	50	>	>	X
cuesj-733	169	51	1	1	NUM
cuesj-733	169	52	.	.	PUNCT
cuesj-733	169	53	such	such	ADJ
cuesj-733	169	54	incomes	income	NOUN
cuesj-733	169	55	indicate	indicate	VERB
cuesj-733	169	56	that	that	SCONJ
cuesj-733	169	57	the	the	DET
cuesj-733	169	58	blood	blood	NOUN
cuesj-733	169	59	pressure	pressure	NOUN
cuesj-733	169	60	of	of	ADP
cuesj-733	169	61	males	male	NOUN
cuesj-733	169	62	is	be	AUX
cuesj-733	169	63	higher	high	ADJ
cuesj-733	169	64	than	than	ADP
cuesj-733	169	65	females	female	NOUN
cuesj-733	169	66	.	.	PUNCT
cuesj-733	170	1	table	table	NOUN
cuesj-733	170	2	6	6	NUM
cuesj-733	170	3	:	:	PUNCT
cuesj-733	170	4	omnibus	omnibus	NOUN
cuesj-733	170	5	test	test	NOUN
cuesj-733	170	6	step	step	NOUN
cuesj-733	170	7	1	1	NUM
cuesj-733	170	8	χ2	χ2	PROPN
cuesj-733	170	9	df	df	PROPN
cuesj-733	170	10	significant	significant	ADJ
cuesj-733	170	11	step	step	NOUN
cuesj-733	170	12	150.628	150.628	NUM
cuesj-733	170	13	6	6	NUM
cuesj-733	170	14	0.000	0.000	NUM
cuesj-733	170	15	block	block	NOUN
cuesj-733	170	16	150.628	150.628	NUM
cuesj-733	170	17	6	6	NUM
cuesj-733	170	18	0.000	0.000	NUM
cuesj-733	170	19	model	model	NOUN
cuesj-733	170	20	150.628	150.628	NUM
cuesj-733	170	21	6	6	NUM
cuesj-733	170	22	0.000	0.000	NUM
cuesj-733	170	23	table	table	NOUN
cuesj-733	170	24	7	7	NUM
cuesj-733	170	25	:	:	PUNCT
cuesj-733	170	26	hosmer	hosmer	X
cuesj-733	170	27	and	and	CCONJ
cuesj-733	170	28	lemeshow	lemeshow	ADJ
cuesj-733	170	29	test	test	NOUN
cuesj-733	170	30	step	step	NOUN
cuesj-733	170	31	χ2	χ2	PROPN
cuesj-733	170	32	df	df	PROPN
cuesj-733	170	33	significant	significant	ADJ
cuesj-733	170	34	1	1	NUM
cuesj-733	170	35	10.595	10.595	NUM
cuesj-733	170	36	8	8	NUM
cuesj-733	170	37	0.226	0.226	NUM
cuesj-733	170	38	table	table	NOUN
cuesj-733	170	39	8	8	NUM
cuesj-733	170	40	:	:	PUNCT
cuesj-733	170	41	summary	summary	NOUN
cuesj-733	170	42	of	of	ADP
cuesj-733	170	43	logistic	logistic	ADJ
cuesj-733	170	44	regression	regression	NOUN
cuesj-733	170	45	step	step	NOUN
cuesj-733	170	46	−2	−2	PROPN
cuesj-733	170	47	log	log	NOUN
cuesj-733	170	48	likelihood	likelihood	NOUN
cuesj-733	170	49	cox	cox	PROPN
cuesj-733	170	50	and	and	CCONJ
cuesj-733	170	51	snell	snell	PROPN
cuesj-733	170	52	r2	r2	PROPN
cuesj-733	170	53	nagelkerke	nagelkerke	PROPN
cuesj-733	170	54	r2	r2	PROPN
cuesj-733	170	55	1	1	NUM
cuesj-733	170	56	426.572a	426.572a	NUM
cuesj-733	170	57	0.260	0.260	NUM
cuesj-733	170	58	0.380	0.380	NUM
cuesj-733	170	59	table	table	NOUN
cuesj-733	170	60	9	9	NUM
cuesj-733	170	61	:	:	PUNCT
cuesj-733	170	62	classification	classification	NOUN
cuesj-733	170	63	tables	table	NOUN
cuesj-733	170	64	observed	observe	VERB
cuesj-733	170	65	predicted	predict	VERB
cuesj-733	170	66	y	y	PROPN
cuesj-733	170	67	percentage	percentage	NOUN
cuesj-733	170	68	correct	correct	ADJ
cuesj-733	170	69	uninfected	uninfected	ADJ
cuesj-733	170	70	infected	infected	ADJ
cuesj-733	170	71	step	step	NOUN
cuesj-733	170	72	1	1	NUM
cuesj-733	170	73	y	y	PROPN
cuesj-733	170	74	uninfected	uninfecte	VERB
cuesj-733	170	75	59	59	NUM
cuesj-733	170	76	73	73	NUM
cuesj-733	170	77	44.7	44.7	NUM
cuesj-733	170	78	infected	infect	VERB
cuesj-733	170	79	31	31	NUM
cuesj-733	170	80	337	337	NUM
cuesj-733	170	81	91.6	91.6	NUM
cuesj-733	170	82	overall	overall	ADJ
cuesj-733	170	83	percentage	percentage	NOUN
cuesj-733	170	84	79.2	79.2	NUM
cuesj-733	170	85	meran	meran	ADJ
cuesj-733	170	86	and	and	CCONJ
cuesj-733	170	87	sedeeq	sedeeq	NOUN
cuesj-733	170	88	:	:	PUNCT
cuesj-733	170	89	tobit	tobit	NOUN
cuesj-733	170	90	and	and	CCONJ
cuesj-733	170	91	logistic	logistic	ADJ
cuesj-733	170	92	regression	regression	NOUN
cuesj-733	170	93	models	model	NOUN
cuesj-733	170	94	139	139	NUM
cuesj-733	170	95	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	170	96	cuesj	cuesj	ADJ
cuesj-733	170	97	2022	2022	NUM
cuesj-733	170	98	,	,	PUNCT
cuesj-733	170	99	6	6	NUM
cuesj-733	170	100	(	(	PUNCT
cuesj-733	170	101	2	2	NUM
cuesj-733	170	102	):	):	PUNCT
cuesj-733	170	103	133	133	NUM
cuesj-733	170	104	-	-	SYM
cuesj-733	170	105	140	140	NUM
cuesj-733	170	106	the	the	DET
cuesj-733	170	107	odds	odd	NOUN
cuesj-733	170	108	ratio	ratio	NOUN
cuesj-733	170	109	for	for	ADP
cuesj-733	170	110	the	the	DET
cuesj-733	170	111	variable	variable	ADJ
cuesj-733	170	112	age	age	NOUN
cuesj-733	170	113	is	be	AUX
cuesj-733	170	114	>	>	X
cuesj-733	170	115	1	1	NUM
cuesj-733	170	116	,	,	PUNCT
cuesj-733	170	117	exp(β	exp(β	NOUN
cuesj-733	170	118	)	)	PUNCT
cuesj-733	170	119	=	=	NOUN
cuesj-733	171	1	1.083	1.083	NUM
cuesj-733	171	2	.	.	PUNCT
cuesj-733	172	1	this	this	PRON
cuesj-733	172	2	means	mean	VERB
cuesj-733	172	3	that	that	SCONJ
cuesj-733	172	4	each	each	DET
cuesj-733	172	5	additional	additional	ADJ
cuesj-733	172	6	rise	rise	NOUN
cuesj-733	172	7	of	of	ADP
cuesj-733	172	8	1	1	NUM
cuesj-733	172	9	year	year	NOUN
cuesj-733	172	10	in	in	ADP
cuesj-733	172	11	age	age	NOUN
cuesj-733	172	12	is	be	AUX
cuesj-733	172	13	in	in	ADP
cuesj-733	172	14	touch	touch	NOUN
cuesj-733	172	15	with	with	ADP
cuesj-733	172	16	the	the	DET
cuesj-733	172	17	increase	increase	NOUN
cuesj-733	172	18	in	in	ADP
cuesj-733	172	19	the	the	DET
cuesj-733	172	20	odds	odd	NOUN
cuesj-733	172	21	infected	infect	VERB
cuesj-733	172	22	of	of	ADP
cuesj-733	172	23	blood	blood	NOUN
cuesj-733	172	24	pressure	pressure	NOUN
cuesj-733	172	25	in	in	ADP
cuesj-733	172	26	cardiac	cardiac	ADJ
cuesj-733	172	27	patients	patient	NOUN
cuesj-733	172	28	.	.	PUNCT
cuesj-733	173	1	the	the	DET
cuesj-733	173	2	odds	odd	NOUN
cuesj-733	173	3	ratio	ratio	NOUN
cuesj-733	173	4	for	for	ADP
cuesj-733	173	5	the	the	DET
cuesj-733	173	6	variable	variable	ADJ
cuesj-733	173	7	urea	urea	NOUN
cuesj-733	173	8	is	be	AUX
cuesj-733	173	9	<	<	X
cuesj-733	173	10	1	1	NUM
cuesj-733	173	11	.	.	PUNCT
cuesj-733	174	1	this	this	PRON
cuesj-733	174	2	means	mean	VERB
cuesj-733	174	3	that	that	SCONJ
cuesj-733	174	4	each	each	DET
cuesj-733	174	5	additional	additional	ADJ
cuesj-733	174	6	increase	increase	NOUN
cuesj-733	174	7	of	of	ADP
cuesj-733	174	8	one	one	NUM
cuesj-733	174	9	unit	unit	NOUN
cuesj-733	174	10	in	in	ADP
cuesj-733	174	11	urea	urea	NOUN
cuesj-733	174	12	is	be	AUX
cuesj-733	174	13	associated	associate	VERB
cuesj-733	174	14	with	with	ADP
cuesj-733	174	15	decrease	decrease	NOUN
cuesj-733	174	16	in	in	ADP
cuesj-733	174	17	the	the	DET
cuesj-733	174	18	odds	odd	NOUN
cuesj-733	174	19	infection	infection	NOUN
cuesj-733	174	20	of	of	ADP
cuesj-733	174	21	blood	blood	NOUN
cuesj-733	174	22	pressure	pressure	NOUN
cuesj-733	174	23	in	in	ADP
cuesj-733	174	24	cardiac	cardiac	ADJ
cuesj-733	174	25	patients	patient	NOUN
cuesj-733	174	26	with	with	ADP
cuesj-733	174	27	0.984	0.984	NUM
cuesj-733	174	28	times	time	NOUN
cuesj-733	174	29	.	.	PUNCT
cuesj-733	175	1	the	the	DET
cuesj-733	175	2	odds	odd	NOUN
cuesj-733	175	3	ratio	ratio	NOUN
cuesj-733	175	4	for	for	ADP
cuesj-733	175	5	the	the	DET
cuesj-733	175	6	variable	variable	ADJ
cuesj-733	175	7	cholesterol	cholesterol	NOUN
cuesj-733	175	8	is	be	AUX
cuesj-733	175	9	>	>	X
cuesj-733	175	10	1	1	NUM
cuesj-733	175	11	.	.	PUNCT
cuesj-733	176	1	this	this	PRON
cuesj-733	176	2	means	mean	VERB
cuesj-733	176	3	that	that	SCONJ
cuesj-733	176	4	each	each	DET
cuesj-733	176	5	additional	additional	ADJ
cuesj-733	176	6	increase	increase	NOUN
cuesj-733	176	7	of	of	ADP
cuesj-733	176	8	one	one	NUM
cuesj-733	176	9	unit	unit	NOUN
cuesj-733	176	10	in	in	ADP
cuesj-733	176	11	cholesterol	cholesterol	NOUN
cuesj-733	176	12	is	be	AUX
cuesj-733	176	13	related	relate	VERB
cuesj-733	176	14	to	to	ADP
cuesj-733	176	15	the	the	DET
cuesj-733	176	16	increase	increase	NOUN
cuesj-733	176	17	in	in	ADP
cuesj-733	176	18	the	the	DET
cuesj-733	176	19	odds	odd	NOUN
cuesj-733	176	20	of	of	ADP
cuesj-733	176	21	blood	blood	NOUN
cuesj-733	176	22	pressure	pressure	NOUN
cuesj-733	176	23	in	in	ADP
cuesj-733	176	24	cardiac	cardiac	ADJ
cuesj-733	176	25	patients	patient	NOUN
cuesj-733	176	26	with	with	ADP
cuesj-733	176	27	1.013	1.013	NUM
cuesj-733	176	28	times	time	NOUN
cuesj-733	176	29	.	.	PUNCT
cuesj-733	177	1	the	the	DET
cuesj-733	177	2	odds	odd	NOUN
cuesj-733	177	3	ratio	ratio	NOUN
cuesj-733	177	4	for	for	ADP
cuesj-733	177	5	the	the	DET
cuesj-733	177	6	variable	variable	ADJ
cuesj-733	177	7	creatinine	creatinine	NOUN
cuesj-733	177	8	is	be	AUX
cuesj-733	177	9	>	>	X
cuesj-733	177	10	1	1	NUM
cuesj-733	177	11	.	.	PUNCT
cuesj-733	178	1	this	this	PRON
cuesj-733	178	2	means	mean	VERB
cuesj-733	178	3	that	that	SCONJ
cuesj-733	178	4	each	each	DET
cuesj-733	178	5	additional	additional	ADJ
cuesj-733	178	6	increase	increase	NOUN
cuesj-733	178	7	of	of	ADP
cuesj-733	178	8	one	one	NUM
cuesj-733	178	9	unit	unit	NOUN
cuesj-733	178	10	in	in	ADP
cuesj-733	178	11	creatinine	creatinine	NOUN
cuesj-733	178	12	is	be	AUX
cuesj-733	178	13	related	relate	VERB
cuesj-733	178	14	to	to	ADP
cuesj-733	178	15	the	the	DET
cuesj-733	178	16	increase	increase	NOUN
cuesj-733	178	17	in	in	ADP
cuesj-733	178	18	the	the	DET
cuesj-733	178	19	odds	odd	NOUN
cuesj-733	178	20	infection	infection	NOUN
cuesj-733	178	21	of	of	ADP
cuesj-733	178	22	blood	blood	NOUN
cuesj-733	178	23	pressure	pressure	NOUN
cuesj-733	178	24	in	in	ADP
cuesj-733	178	25	cardiac	cardiac	ADJ
cuesj-733	178	26	patients	patient	NOUN
cuesj-733	178	27	with	with	ADP
cuesj-733	178	28	4.267	4.267	NUM
cuesj-733	178	29	times	time	NOUN
cuesj-733	178	30	.	.	PUNCT
cuesj-733	179	1	the	the	DET
cuesj-733	179	2	odds	odd	NOUN
cuesj-733	179	3	ratio	ratio	NOUN
cuesj-733	179	4	for	for	ADP
cuesj-733	179	5	the	the	DET
cuesj-733	179	6	variable	variable	ADJ
cuesj-733	179	7	weight	weight	NOUN
cuesj-733	179	8	is	be	AUX
cuesj-733	179	9	>	>	X
cuesj-733	179	10	1	1	NUM
cuesj-733	179	11	.	.	PUNCT
cuesj-733	180	1	this	this	PRON
cuesj-733	180	2	means	mean	VERB
cuesj-733	180	3	that	that	SCONJ
cuesj-733	180	4	each	each	DET
cuesj-733	180	5	additional	additional	ADJ
cuesj-733	180	6	increase	increase	NOUN
cuesj-733	180	7	of	of	ADP
cuesj-733	180	8	one	one	NUM
cuesj-733	180	9	unit	unit	NOUN
cuesj-733	180	10	in	in	ADP
cuesj-733	180	11	weight	weight	NOUN
cuesj-733	180	12	is	be	AUX
cuesj-733	180	13	associated	associate	VERB
cuesj-733	180	14	-	-	PUNCT
cuesj-733	180	15	with	with	ADP
cuesj-733	180	16	the	the	DET
cuesj-733	180	17	increase	increase	NOUN
cuesj-733	180	18	in	in	ADP
cuesj-733	180	19	the	the	DET
cuesj-733	180	20	odds	odd	NOUN
cuesj-733	180	21	infection	infection	NOUN
cuesj-733	180	22	of	of	ADP
cuesj-733	180	23	blood	blood	NOUN
cuesj-733	180	24	pressure	pressure	NOUN
cuesj-733	180	25	in	in	ADP
cuesj-733	180	26	cardiac	cardiac	ADJ
cuesj-733	180	27	patients	patient	NOUN
cuesj-733	180	28	with	with	ADP
cuesj-733	180	29	1.011	1.011	NUM
cuesj-733	180	30	times	time	NOUN
cuesj-733	180	31	.	.	PUNCT
cuesj-733	181	1	discussion	discussion	NOUN
cuesj-733	181	2	there	there	PRON
cuesj-733	181	3	are	be	VERB
cuesj-733	181	4	different	different	ADJ
cuesj-733	181	5	techniques	technique	NOUN
cuesj-733	181	6	for	for	ADP
cuesj-733	181	7	comparing	compare	VERB
cuesj-733	181	8	the	the	DET
cuesj-733	181	9	analysis	analysis	NOUN
cuesj-733	181	10	of	of	ADP
cuesj-733	181	11	two	two	NUM
cuesj-733	181	12	or	or	CCONJ
cuesj-733	181	13	more	more	ADJ
cuesj-733	181	14	models	model	NOUN
cuesj-733	181	15	;	;	PUNCT
cuesj-733	181	16	however	however	ADV
cuesj-733	181	17	,	,	PUNCT
cuesj-733	181	18	the	the	DET
cuesj-733	181	19	aic	aic	PROPN
cuesj-733	181	20	and	and	CCONJ
cuesj-733	181	21	bic	bic	PROPN
cuesj-733	181	22	criteria	criterion	NOUN
cuesj-733	181	23	are	be	AUX
cuesj-733	181	24	two	two	NUM
cuesj-733	181	25	that	that	PRON
cuesj-733	181	26	may	may	AUX
cuesj-733	181	27	be	be	AUX
cuesj-733	181	28	worth	worth	ADJ
cuesj-733	181	29	considering	consider	VERB
cuesj-733	181	30	.	.	PUNCT
cuesj-733	182	1	table	table	NOUN
cuesj-733	182	2	11	11	NUM
cuesj-733	182	3	shows	show	VERB
cuesj-733	182	4	a	a	DET
cuesj-733	182	5	comparison	comparison	NOUN
cuesj-733	182	6	between	between	ADP
cuesj-733	182	7	three	three	NUM
cuesj-733	182	8	regression	regression	NOUN
cuesj-733	182	9	models	model	NOUN
cuesj-733	182	10	censored	censor	VERB
cuesj-733	182	11	,	,	PUNCT
cuesj-733	182	12	truncated	truncate	VERB
cuesj-733	182	13	,	,	PUNCT
cuesj-733	182	14	and	and	CCONJ
cuesj-733	182	15	logistic	logistic	ADJ
cuesj-733	182	16	,	,	PUNCT
cuesj-733	182	17	for	for	ADP
cuesj-733	182	18	choosing	choose	VERB
cuesj-733	182	19	the	the	DET
cuesj-733	182	20	most	most	ADV
cuesj-733	182	21	fit	fit	ADJ
cuesj-733	182	22	model	model	NOUN
cuesj-733	182	23	to	to	ADP
cuesj-733	182	24	our	our	PRON
cuesj-733	182	25	data	datum	NOUN
cuesj-733	182	26	of	of	ADP
cuesj-733	182	27	blood	blood	NOUN
cuesj-733	182	28	pressure	pressure	NOUN
cuesj-733	182	29	in	in	ADP
cuesj-733	182	30	cardiac	cardiac	ADJ
cuesj-733	182	31	patients	patient	NOUN
cuesj-733	182	32	,	,	PUNCT
cuesj-733	182	33	the	the	DET
cuesj-733	182	34	aic	aic	PROPN
cuesj-733	182	35	and	and	CCONJ
cuesj-733	182	36	bic	bic	PROPN
cuesj-733	182	37	values	value	NOUN
cuesj-733	182	38	with	with	ADP
cuesj-733	182	39	the	the	DET
cuesj-733	182	40	least	least	ADJ
cuesj-733	182	41	values	value	NOUN
cuesj-733	182	42	are	be	AUX
cuesj-733	182	43	chosen	choose	VERB
cuesj-733	182	44	.	.	PUNCT
cuesj-733	183	1	the	the	DET
cuesj-733	183	2	results	result	NOUN
cuesj-733	183	3	display	display	VERB
cuesj-733	183	4	that	that	SCONJ
cuesj-733	183	5	the	the	DET
cuesj-733	183	6	logistic	logistic	ADJ
cuesj-733	183	7	regression	regression	NOUN
cuesj-733	183	8	model	model	NOUN
cuesj-733	183	9	is	be	AUX
cuesj-733	183	10	better	well	ADJ
cuesj-733	183	11	and	and	CCONJ
cuesj-733	183	12	more	more	ADV
cuesj-733	183	13	suitable	suitable	ADJ
cuesj-733	183	14	rather	rather	ADV
cuesj-733	183	15	than	than	ADP
cuesj-733	183	16	truncated	truncated	ADJ
cuesj-733	183	17	regression	regression	NOUN
cuesj-733	183	18	and	and	CCONJ
cuesj-733	183	19	censored	censor	VERB
cuesj-733	183	20	regression	regression	NOUN
cuesj-733	183	21	for	for	ADP
cuesj-733	183	22	our	our	PRON
cuesj-733	183	23	data	datum	NOUN
cuesj-733	183	24	,	,	PUNCT
cuesj-733	183	25	because	because	SCONJ
cuesj-733	183	26	it	it	PRON
cuesj-733	183	27	’s	’	VERB
cuesj-733	183	28	aic	aic	PROPN
cuesj-733	183	29	equal	equal	ADJ
cuesj-733	183	30	to	to	ADP
cuesj-733	183	31	591.2	591.2	NUM
cuesj-733	183	32	and	and	CCONJ
cuesj-733	183	33	bic	bic	PROPN
cuesj-733	183	34	=	=	PROPN
cuesj-733	183	35	620.7	620.7	NUM
cuesj-733	183	36	are	be	AUX
cuesj-733	183	37	the	the	DET
cuesj-733	183	38	lowest	low	ADJ
cuesj-733	183	39	values	value	NOUN
cuesj-733	183	40	contrast	contrast	VERB
cuesj-733	183	41	with	with	ADP
cuesj-733	183	42	tobit	tobit	NOUN
cuesj-733	183	43	models	model	NOUN
cuesj-733	183	44	(	(	PUNCT
cuesj-733	183	45	censored	censor	VERB
cuesj-733	183	46	and	and	CCONJ
cuesj-733	183	47	truncated	truncated	ADJ
cuesj-733	183	48	)	)	PUNCT
cuesj-733	183	49	.	.	PUNCT
cuesj-733	184	1	conclusion	conclusion	NOUN
cuesj-733	184	2	it	it	PRON
cuesj-733	184	3	has	have	AUX
cuesj-733	184	4	been	be	AUX
cuesj-733	184	5	concluded	conclude	VERB
cuesj-733	184	6	the	the	DET
cuesj-733	184	7	following	following	NOUN
cuesj-733	184	8	:	:	PUNCT
cuesj-733	185	1	1	1	X
cuesj-733	185	2	.	.	X
cuesj-733	185	3	in	in	ADP
cuesj-733	185	4	the	the	DET
cuesj-733	185	5	censored	censor	VERB
cuesj-733	185	6	,	,	PUNCT
cuesj-733	185	7	regression	regression	NOUN
cuesj-733	185	8	model	model	NOUN
cuesj-733	185	9	,	,	PUNCT
cuesj-733	185	10	the	the	DET
cuesj-733	185	11	explanatory	explanatory	ADJ
cuesj-733	185	12	,	,	PUNCT
cuesj-733	185	13	variables	variable	NOUN
cuesj-733	185	14	(	(	PUNCT
cuesj-733	185	15	age	age	NOUN
cuesj-733	185	16	,	,	PUNCT
cuesj-733	185	17	cholesterol	cholesterol	NOUN
cuesj-733	185	18	,	,	PUNCT
cuesj-733	185	19	and	and	CCONJ
cuesj-733	185	20	urea	urea	NOUN
cuesj-733	185	21	)	)	PUNCT
cuesj-733	185	22	significantly	significantly	ADV
cuesj-733	185	23	impacted	impact	VERB
cuesj-733	185	24	on	on	ADP
cuesj-733	185	25	blood	blood	NOUN
cuesj-733	185	26	pressure	pressure	NOUN
cuesj-733	185	27	.	.	PUNCT
cuesj-733	186	1	2	2	X
cuesj-733	186	2	.	.	X
cuesj-733	186	3	the	the	DET
cuesj-733	186	4	results	result	NOUN
cuesj-733	186	5	,	,	PUNCT
cuesj-733	186	6	from	from	ADP
cuesj-733	186	7	truncated	truncated	ADJ
cuesj-733	186	8	regression	regression	NOUN
cuesj-733	186	9	model	model	NOUN
cuesj-733	186	10	show	show	NOUN
cuesj-733	186	11	,	,	PUNCT
cuesj-733	186	12	that	that	SCONJ
cuesj-733	186	13	only	only	ADV
cuesj-733	186	14	the	the	DET
cuesj-733	186	15	urea	urea	NOUN
cuesj-733	186	16	variable	variable	NOUN
cuesj-733	186	17	has	have	VERB
cuesj-733	186	18	the	the	DET
cuesj-733	186	19	effect	effect	NOUN
cuesj-733	186	20	on	on	ADP
cuesj-733	186	21	blood	blood	NOUN
cuesj-733	186	22	pressure	pressure	NOUN
cuesj-733	186	23	.	.	PUNCT
cuesj-733	187	1	3	3	X
cuesj-733	187	2	.	.	X
cuesj-733	187	3	according	accord	VERB
cuesj-733	187	4	,	,	PUNCT
cuesj-733	187	5	to	to	ADP
cuesj-733	187	6	the	the	DET
cuesj-733	187	7	results	result	NOUN
cuesj-733	187	8	classification	classification	NOUN
cuesj-733	187	9	table	table	NOUN
cuesj-733	187	10	,	,	PUNCT
cuesj-733	187	11	logistic	logistic	ADJ
cuesj-733	187	12	model	model	NOUN
cuesj-733	187	13	is	be	AUX
cuesj-733	187	14	,	,	PUNCT
cuesj-733	187	15	correctly	correctly	ADV
cuesj-733	187	16	classifying	classify	VERB
cuesj-733	187	17	the	the	DET
cuesj-733	187	18	consequences	consequence	NOUN
cuesj-733	187	19	for	for	ADP
cuesj-733	187	20	79.2	79.2	NUM
cuesj-733	187	21	%	%	NOUN
cuesj-733	187	22	of	of	ADP
cuesj-733	187	23	the	the	DET
cuesj-733	187	24	cases	case	NOUN
cuesj-733	187	25	,	,	PUNCT
cuesj-733	187	26	compared	compare	VERB
cuesj-733	187	27	to	to	ADP
cuesj-733	187	28	73.6	73.6	NUM
cuesj-733	187	29	%	%	NOUN
cuesj-733	187	30	in	in	ADP
cuesj-733	187	31	the	the	DET
cuesj-733	187	32	null	null	ADJ
cuesj-733	187	33	,	,	PUNCT
cuesj-733	187	34	model	model	NOUN
cuesj-733	187	35	.	.	PUNCT
cuesj-733	188	1	4	4	NUM
cuesj-733	188	2	.	.	PUNCT
cuesj-733	188	3	according	accord	VERB
cuesj-733	188	4	to	to	ADP
cuesj-733	188	5	the	the	DET
cuesj-733	188	6	hosmer	hosmer	NOUN
cuesj-733	188	7	-	-	PUNCT
cuesj-733	188	8	lemeshow	lemeshow	NOUN
cuesj-733	188	9	test	test	NOUN
cuesj-733	188	10	,	,	PUNCT
cuesj-733	188	11	our	our	PRON
cuesj-733	188	12	data	datum	NOUN
cuesj-733	188	13	fit	fit	VERB
cuesj-733	188	14	the	the	DET
cuesj-733	188	15	logistic	logistic	ADJ
cuesj-733	188	16	regression	regression	NOUN
cuesj-733	188	17	based	base	VERB
cuesj-733	188	18	on	on	ADP
cuesj-733	188	19	a	a	DET
cuesj-733	188	20	χ2	χ2	NOUN
cuesj-733	188	21	=	=	PUNCT
cuesj-733	188	22	10.595	10.595	NUM
cuesj-733	188	23	and	and	CCONJ
cuesj-733	188	24	p	p	NOUN
cuesj-733	188	25	-	-	PUNCT
cuesj-733	188	26	value	value	NOUN
cuesj-733	188	27	greater	great	ADJ
cuesj-733	188	28	,	,	PUNCT
cuesj-733	188	29	than	than	ADP
cuesj-733	188	30	a	a	DET
cuesj-733	188	31	significant	significant	ADJ
cuesj-733	188	32	level	level	NOUN
cuesj-733	188	33	.	.	PUNCT
cuesj-733	189	1	5	5	X
cuesj-733	189	2	.	.	X
cuesj-733	189	3	wald	wald	PROPN
cuesj-733	189	4	’s	’s	PART
cuesj-733	189	5	test	test	NOUN
cuesj-733	189	6	showed	show	VERB
cuesj-733	189	7	that	that	SCONJ
cuesj-733	189	8	the	the	DET
cuesj-733	189	9	variables	variable	NOUN
cuesj-733	189	10	of	of	ADP
cuesj-733	189	11	age	age	NOUN
cuesj-733	189	12	,	,	PUNCT
cuesj-733	189	13	creatinine	creatinine	NOUN
cuesj-733	189	14	,	,	PUNCT
cuesj-733	189	15	cholesterol	cholesterol	NOUN
cuesj-733	189	16	,	,	PUNCT
cuesj-733	189	17	and	and	CCONJ
cuesj-733	189	18	urea	urea	NOUN
cuesj-733	189	19	,	,	PUNCT
cuesj-733	189	20	respectively	respectively	ADV
cuesj-733	189	21	,	,	PUNCT
cuesj-733	189	22	contributed	contribute	VERB
cuesj-733	189	23	significantly	significantly	ADV
cuesj-733	189	24	to	to	ADP
cuesj-733	189	25	the	the	DET
cuesj-733	189	26	prediction	prediction	NOUN
cuesj-733	189	27	,	,	PUNCT
cuesj-733	189	28	depending	depend	VERB
cuesj-733	189	29	on	on	ADP
cuesj-733	189	30	the	the	DET
cuesj-733	189	31	p	p	NOUN
cuesj-733	189	32	-	-	PUNCT
cuesj-733	189	33	value	value	NOUN
cuesj-733	189	34	(	(	PUNCT
cuesj-733	189	35	0.000	0.000	NUM
cuesj-733	189	36	<	<	X
cuesj-733	189	37	0.005	0.005	NUM
cuesj-733	189	38	)	)	PUNCT
cuesj-733	189	39	.	.	PUNCT
cuesj-733	190	1	the	the	DET
cuesj-733	190	2	variables	variable	NOUN
cuesj-733	190	3	that	that	PRON
cuesj-733	190	4	do	do	AUX
cuesj-733	190	5	not	not	PART
cuesj-733	190	6	have	have	VERB
cuesj-733	190	7	a	a	DET
cuesj-733	190	8	significant	significant	ADJ
cuesj-733	190	9	,	,	PUNCT
cuesj-733	190	10	effect	effect	NOUN
cuesj-733	190	11	are	be	AUX
cuesj-733	190	12	weight	weight	NOUN
cuesj-733	190	13	and	and	CCONJ
cuesj-733	190	14	gender	gender	NOUN
cuesj-733	190	15	.	.	PUNCT
cuesj-733	191	1	6	6	NUM
cuesj-733	191	2	.	.	X
cuesj-733	192	1	it	it	PRON
cuesj-733	192	2	was	be	AUX
cuesj-733	192	3	concluded	conclude	VERB
cuesj-733	192	4	,	,	PUNCT
cuesj-733	192	5	that	that	SCONJ
cuesj-733	192	6	the	the	DET
cuesj-733	192	7	logistic	logistic	ADJ
cuesj-733	192	8	regression	regression	NOUN
cuesj-733	192	9	model	model	NOUN
cuesj-733	192	10	for	for	ADP
cuesj-733	192	11	the	the	DET
cuesj-733	192	12	sample	sample	NOUN
cuesj-733	192	13	under	under	ADP
cuesj-733	192	14	study	study	NOUN
cuesj-733	192	15	or	or	CCONJ
cuesj-733	192	16	for	for	ADP
cuesj-733	192	17	our	our	PRON
cuesj-733	192	18	data	datum	NOUN
cuesj-733	192	19	is	be	AUX
cuesj-733	192	20	better	well	ADJ
cuesj-733	192	21	,	,	PUNCT
cuesj-733	192	22	than	than	ADP
cuesj-733	192	23	the	the	DET
cuesj-733	192	24	censored	censor	VERB
cuesj-733	192	25	regression	regression	NOUN
cuesj-733	192	26	model	model	NOUN
cuesj-733	192	27	and	and	CCONJ
cuesj-733	192	28	the	the	DET
cuesj-733	192	29	truncated	truncated	ADJ
cuesj-733	192	30	regression	regression	NOUN
cuesj-733	192	31	model	model	NOUN
cuesj-733	192	32	after	after	ADP
cuesj-733	192	33	comparing	compare	VERB
cuesj-733	192	34	,	,	PUNCT
cuesj-733	192	35	their	their	PRON
cuesj-733	192	36	aic	aic	PROPN
cuesj-733	192	37	and	and	CCONJ
cuesj-733	192	38	bic	bic	PROPN
cuesj-733	192	39	values	value	NOUN
cuesj-733	192	40	.	.	PUNCT
cuesj-733	193	1	references	reference	NOUN
cuesj-733	193	2	1	1	NUM
cuesj-733	193	3	.	.	PUNCT
cuesj-733	194	1	c.	c.	PROPN
cuesj-733	194	2	y.	y.	PROPN
cuesj-733	194	3	wu	wu	PROPN
cuesj-733	194	4	,	,	PUNCT
cuesj-733	194	5	h.	h.	PROPN
cuesj-733	194	6	y.	y.	PROPN
cuesj-733	194	7	hu	hu	PROPN
cuesj-733	194	8	,	,	PUNCT
cuesj-733	194	9	y.	y.	PROPN
cuesj-733	194	10	j.	j.	PROPN
cuesj-733	194	11	chou	chou	PROPN
cuesj-733	194	12	,	,	PUNCT
cuesj-733	194	13	n.	n.	PROPN
cuesj-733	194	14	huang	huang	PROPN
cuesj-733	194	15	,	,	PUNCT
cuesj-733	194	16	y.	y.	PROPN
cuesj-733	194	17	chou	chou	PROPN
cuesj-733	194	18	and	and	CCONJ
cuesj-733	194	19	c.	c.	PROPN
cuesj-733	194	20	li	li	PROPN
cuesj-733	194	21	.	.	PROPN
cuesj-733	195	1	high	high	ADJ
cuesj-733	195	2	blood	blood	NOUN
cuesj-733	195	3	pressure	pressure	NOUN
cuesj-733	195	4	and	and	CCONJ
cuesj-733	195	5	all	all	DET
cuesj-733	195	6	-	-	PUNCT
cuesj-733	195	7	cause	cause	NOUN
cuesj-733	195	8	and	and	CCONJ
cuesj-733	195	9	cardiovascular	cardiovascular	ADJ
cuesj-733	195	10	disease	disease	NOUN
cuesj-733	195	11	mortalities	mortality	NOUN
cuesj-733	195	12	in	in	ADP
cuesj-733	195	13	community	community	NOUN
cuesj-733	195	14	-	-	PUNCT
cuesj-733	195	15	dwelling	dwell	VERB
cuesj-733	195	16	older	old	ADJ
cuesj-733	195	17	adults	adult	NOUN
cuesj-733	195	18	.	.	PUNCT
cuesj-733	196	1	medicine(baltimore	medicine(baltimore	NOUN
cuesj-733	196	2	)	)	PUNCT
cuesj-733	196	3	,	,	PUNCT
cuesj-733	196	4	vol	vol	NOUN
cuesj-733	196	5	.	.	PROPN
cuesj-733	197	1	94	94	NUM
cuesj-733	197	2	,	,	PUNCT
cuesj-733	197	3	no	no	INTJ
cuesj-733	197	4	.	.	NOUN
cuesj-733	197	5	47	47	NUM
cuesj-733	197	6	,	,	PUNCT
cuesj-733	198	1	p.	p.	PROPN
cuesj-733	198	2	e2160	e2160	PROPN
cuesj-733	198	3	,	,	PUNCT
cuesj-733	198	4	2015	2015	NUM
cuesj-733	198	5	.	.	PUNCT
cuesj-733	199	1	2	2	X
cuesj-733	199	2	.	.	X
cuesj-733	199	3	w.	w.	PROPN
cuesj-733	199	4	h.	h.	PROPN
cuesj-733	199	5	greene	greene	PROPN
cuesj-733	199	6	.	.	PUNCT
cuesj-733	200	1	censored	censor	VERB
cuesj-733	200	2	data	datum	NOUN
cuesj-733	200	3	and	and	CCONJ
cuesj-733	200	4	truncated	truncated	ADJ
cuesj-733	200	5	distributions	distribution	NOUN
cuesj-733	200	6	,	,	PUNCT
cuesj-733	200	7	ssrn	ssrn	PROPN
cuesj-733	200	8	electron	electron	PROPN
cuesj-733	200	9	.	.	PUNCT
cuesj-733	201	1	j	j	PROPN
cuesj-733	201	2	,	,	PUNCT
cuesj-733	201	3	2005	2005	NUM
cuesj-733	201	4	.	.	PUNCT
cuesj-733	202	1	3	3	X
cuesj-733	202	2	.	.	X
cuesj-733	202	3	m.	m.	PROPN
cuesj-733	202	4	h.	h.	PROPN
cuesj-733	202	5	odah	odah	PROPN
cuesj-733	202	6	,	,	PUNCT
cuesj-733	202	7	b.	b.	PROPN
cuesj-733	202	8	k.	k.	PROPN
cuesj-733	202	9	mohammed	mohammed	PROPN
cuesj-733	202	10	and	and	CCONJ
cuesj-733	202	11	a.	a.	PROPN
cuesj-733	202	12	s.	s.	PROPN
cuesj-733	202	13	m.	m.	PROPN
cuesj-733	202	14	bager	bager	PROPN
cuesj-733	202	15	.	.	PUNCT
cuesj-733	203	1	tobit	tobit	PROPN
cuesj-733	203	2	regression	regression	NOUN
cuesj-733	203	3	model	model	NOUN
cuesj-733	203	4	to	to	PART
cuesj-733	203	5	determine	determine	VERB
cuesj-733	203	6	the	the	DET
cuesj-733	203	7	dividend	dividend	NOUN
cuesj-733	203	8	yield	yield	NOUN
cuesj-733	203	9	in	in	ADP
cuesj-733	203	10	iraq	iraq	PROPN
cuesj-733	203	11	.	.	PUNCT
cuesj-733	204	1	lumen	luman	NOUN
cuesj-733	204	2	proceedings	proceeding	NOUN
cuesj-733	204	3	,	,	PUNCT
cuesj-733	204	4	vol	vol	NOUN
cuesj-733	204	5	.	.	PROPN
cuesj-733	205	1	3	3	NUM
cuesj-733	205	2	,	,	PUNCT
cuesj-733	205	3	pp	pp	ADJ
cuesj-733	205	4	.	.	PUNCT
cuesj-733	206	1	347	347	NUM
cuesj-733	206	2	-	-	SYM
cuesj-733	206	3	354	354	NUM
cuesj-733	206	4	,	,	PUNCT
cuesj-733	206	5	2018	2018	NUM
cuesj-733	206	6	.	.	PUNCT
cuesj-733	207	1	4	4	X
cuesj-733	207	2	.	.	PUNCT
cuesj-733	207	3	j.	j.	PROPN
cuesj-733	207	4	s.	s.	PROPN
cuesj-733	207	5	cramer	cramer	PROPN
cuesj-733	207	6	.	.	PUNCT
cuesj-733	208	1	the	the	DET
cuesj-733	208	2	origins	origin	NOUN
cuesj-733	208	3	of	of	ADP
cuesj-733	208	4	logistic	logistic	ADJ
cuesj-733	208	5	regression	regression	NOUN
cuesj-733	208	6	:	:	PUNCT
cuesj-733	208	7	tinbergen	tinbergen	PROPN
cuesj-733	208	8	institute	institute	PROPN
cuesj-733	208	9	discussion	discussion	NOUN
cuesj-733	208	10	papers	paper	NOUN
cuesj-733	208	11	,	,	PUNCT
cuesj-733	208	12	2002	2002	NUM
cuesj-733	208	13	.	.	PUNCT
cuesj-733	209	1	5	5	X
cuesj-733	209	2	.	.	X
cuesj-733	209	3	c.	c.	PROPN
cuesj-733	209	4	m.	m.	PROPN
cuesj-733	209	5	dayton	dayton	PROPN
cuesj-733	209	6	.	.	PUNCT
cuesj-733	210	1	logistic	logistic	ADJ
cuesj-733	210	2	regression	regression	NOUN
cuesj-733	210	3	analysis	analysis	NOUN
cuesj-733	210	4	.	.	PUNCT
cuesj-733	211	1	stat	stat	NOUN
cuesj-733	211	2	,	,	PUNCT
cuesj-733	211	3	vol	vol	NOUN
cuesj-733	211	4	.	.	PUNCT
cuesj-733	211	5	474	474	NUM
cuesj-733	211	6	,	,	PUNCT
cuesj-733	211	7	p.	p.	NOUN
cuesj-733	211	8	574	574	NUM
cuesj-733	211	9	,	,	PUNCT
cuesj-733	211	10	1992	1992	NUM
cuesj-733	211	11	.	.	PUNCT
cuesj-733	212	1	6	6	NUM
cuesj-733	212	2	.	.	X
cuesj-733	212	3	h.	h.	PROPN
cuesj-733	212	4	shirafkan	shirafkan	PROPN
cuesj-733	212	5	,	,	PUNCT
cuesj-733	212	6	j.	j.	PROPN
cuesj-733	212	7	yazdani	yazdani	PROPN
cuesj-733	212	8	-	-	PUNCT
cuesj-733	212	9	charati	charati	PROPN
cuesj-733	212	10	,	,	PUNCT
cuesj-733	212	11	s.	s.	PROPN
cuesj-733	212	12	a.	a.	PROPN
cuesj-733	212	13	mozaffarpur	mozaffarpur	PROPN
cuesj-733	212	14	,	,	PUNCT
cuesj-733	212	15	s.	s.	PROPN
cuesj-733	212	16	khafri	khafri	PROPN
cuesj-733	212	17	,	,	PUNCT
cuesj-733	212	18	r.	r.	PROPN
cuesj-733	212	19	akbari	akbari	PROPN
cuesj-733	212	20	and	and	CCONJ
cuesj-733	212	21	a.	a.	NOUN
cuesj-733	212	22	a.	a.	NOUN
cuesj-733	212	23	pasha	pasha	PROPN
cuesj-733	212	24	.	.	PUNCT
cuesj-733	213	1	application	application	NOUN
cuesj-733	213	2	of	of	ADP
cuesj-733	213	3	tobit	tobit	NOUN
cuesj-733	213	4	model	model	NOUN
cuesj-733	213	5	in	in	ADP
cuesj-733	213	6	time	time	NOUN
cuesj-733	213	7	until	until	ADP
cuesj-733	213	8	cytomegalovirus	cytomegalovirus	NOUN
cuesj-733	213	9	infection	infection	NOUN
cuesj-733	213	10	in	in	ADP
cuesj-733	213	11	kidney	kidney	NOUN
cuesj-733	213	12	transplant	transplant	NOUN
cuesj-733	213	13	recipients	recipient	NOUN
cuesj-733	213	14	.	.	PUNCT
cuesj-733	214	1	acta	acta	PROPN
cuesj-733	214	2	medica	medica	PROPN
cuesj-733	214	3	,	,	PUNCT
cuesj-733	214	4	vol	vol	NOUN
cuesj-733	214	5	.	.	PROPN
cuesj-733	214	6	32	32	NUM
cuesj-733	214	7	,	,	PUNCT
cuesj-733	214	8	p.	p.	NOUN
cuesj-733	214	9	1237	1237	NUM
cuesj-733	214	10	,	,	PUNCT
cuesj-733	214	11	2016	2016	NUM
cuesj-733	214	12	.	.	PUNCT
cuesj-733	215	1	7	7	X
cuesj-733	215	2	.	.	X
cuesj-733	215	3	r.	r.	PROPN
cuesj-733	215	4	m.	m.	PROPN
cuesj-733	215	5	h.	h.	PROPN
cuesj-733	215	6	karim	karim	PROPN
cuesj-733	215	7	and	and	CCONJ
cuesj-733	215	8	s.	s.	PROPN
cuesj-733	215	9	m.	m.	PROPN
cuesj-733	215	10	salh	salh	PROPN
cuesj-733	215	11	.	.	PUNCT
cuesj-733	216	1	using	use	VERB
cuesj-733	216	2	tobit	tobit	NOUN
cuesj-733	216	3	model	model	NOUN
cuesj-733	216	4	for	for	ADP
cuesj-733	216	5	studying	study	VERB
cuesj-733	216	6	factors	factor	NOUN
cuesj-733	216	7	affecting	affect	VERB
cuesj-733	216	8	blood	blood	NOUN
cuesj-733	216	9	pressure	pressure	NOUN
cuesj-733	216	10	in	in	ADP
cuesj-733	216	11	patients	patient	NOUN
cuesj-733	216	12	with	with	ADP
cuesj-733	216	13	renal	renal	ADJ
cuesj-733	216	14	failure	failure	NOUN
cuesj-733	216	15	.	.	PUNCT
cuesj-733	217	1	uhd	uhd	PROPN
cuesj-733	217	2	journal	journal	PROPN
cuesj-733	217	3	of	of	ADP
cuesj-733	217	4	science	science	NOUN
cuesj-733	217	5	and	and	CCONJ
cuesj-733	217	6	technology	technology	NOUN
cuesj-733	217	7	,	,	PUNCT
cuesj-733	217	8	vol	vol	NOUN
cuesj-733	217	9	.	.	PROPN
cuesj-733	217	10	4	4	NUM
cuesj-733	217	11	,	,	PUNCT
cuesj-733	217	12	no	no	INTJ
cuesj-733	217	13	.	.	NOUN
cuesj-733	217	14	2	2	NUM
cuesj-733	217	15	,	,	PUNCT
cuesj-733	217	16	pp	pp	ADJ
cuesj-733	217	17	.	.	PUNCT
cuesj-733	218	1	1	1	NUM
cuesj-733	218	2	-	-	SYM
cuesj-733	218	3	9	9	NUM
cuesj-733	218	4	,	,	PUNCT
cuesj-733	218	5	2020	2020	NUM
cuesj-733	218	6	.	.	PUNCT
cuesj-733	219	1	8	8	NUM
cuesj-733	219	2	.	.	PUNCT
cuesj-733	220	1	h.	h.	PROPN
cuesj-733	220	2	r.	r.	PROPN
cuesj-733	220	3	talib	talib	PROPN
cuesj-733	220	4	and	and	CCONJ
cuesj-733	220	5	s.	s.	PROPN
cuesj-733	220	6	a.	a.	PROPN
cuesj-733	220	7	mazloum	mazloum	PROPN
cuesj-733	220	8	.	.	PUNCT
cuesj-733	221	1	the	the	DET
cuesj-733	221	2	use	use	NOUN
cuesj-733	221	3	of	of	ADP
cuesj-733	221	4	binary	binary	ADJ
cuesj-733	221	5	logistic	logistic	ADJ
cuesj-733	221	6	table	table	NOUN
cuesj-733	221	7	10	10	NUM
cuesj-733	221	8	:	:	PUNCT
cuesj-733	221	9	variables	variable	NOUN
cuesj-733	221	10	in	in	ADP
cuesj-733	221	11	the	the	DET
cuesj-733	221	12	equation	equation	NOUN
cuesj-733	221	13	step	step	NOUN
cuesj-733	221	14	1	1	NUM
cuesj-733	221	15	β	β	X
cuesj-733	221	16	se	se	X
cuesj-733	221	17	wald	wald	X
cuesj-733	221	18	df	df	PROPN
cuesj-733	221	19	significant	significant	ADJ
cuesj-733	221	20	exp(β	exp(β	NOUN
cuesj-733	221	21	)	)	PUNCT
cuesj-733	221	22	95	95	NUM
cuesj-733	221	23	%	%	NOUN
cuesj-733	221	24	ci	ci	NOUN
cuesj-733	221	25	for	for	ADP
cuesj-733	221	26	exp(β	exp(β	NOUN
cuesj-733	221	27	)	)	PUNCT
cuesj-733	221	28	lower	low	ADJ
cuesj-733	221	29	upper	upper	ADJ
cuesj-733	221	30	gender	gender	NOUN
cuesj-733	221	31	0.108	0.108	NUM
cuesj-733	221	32	0.264	0.264	NUM
cuesj-733	221	33	0.168	0.168	NUM
cuesj-733	221	34	1	1	NUM
cuesj-733	221	35	0.682	0.682	NUM
cuesj-733	221	36	1.114	1.114	NUM
cuesj-733	221	37	0.664	0.664	NUM
cuesj-733	221	38	1.868	1.868	NUM
cuesj-733	221	39	age	age	NOUN
cuesj-733	221	40	0.080	0.080	NUM
cuesj-733	221	41	0.012	0.012	NUM
cuesj-733	221	42	41.674	41.674	NUM
cuesj-733	221	43	1	1	NUM
cuesj-733	221	44	0.000	0.000	NUM
cuesj-733	221	45	*	*	PUNCT
cuesj-733	221	46	*	*	PUNCT
cuesj-733	221	47	*	*	PUNCT
cuesj-733	221	48	1.083	1.083	NUM
cuesj-733	221	49	1.057	1.057	NUM
cuesj-733	221	50	1.110	1.110	NUM
cuesj-733	221	51	urea	urea	NOUN
cuesj-733	221	52	−0.016	−0.016	PROPN
cuesj-733	221	53	0.007	0.007	NUM
cuesj-733	221	54	4.692	4.692	NUM
cuesj-733	221	55	1	1	NUM
cuesj-733	221	56	0.030	0.030	NUM
cuesj-733	221	57	*	*	NUM
cuesj-733	221	58	0.984	0.984	NUM
cuesj-733	221	59	0.970	0.970	NUM
cuesj-733	221	60	0.998	0.998	NUM
cuesj-733	221	61	cholesterol	cholesterol	NOUN
cuesj-733	221	62	0.013	0.013	NUM
cuesj-733	221	63	0.003	0.003	NUM
cuesj-733	221	64	21.265	21.265	NUM
cuesj-733	221	65	1	1	NUM
cuesj-733	221	66	0.000	0.000	NUM
cuesj-733	221	67	*	*	PUNCT
cuesj-733	221	68	*	*	PUNCT
cuesj-733	221	69	*	*	PUNCT
cuesj-733	221	70	1.013	1.013	NUM
cuesj-733	221	71	1.007	1.007	NUM
cuesj-733	221	72	1.019	1.019	NUM
cuesj-733	221	73	creatinine	creatinine	NOUN
cuesj-733	221	74	1.451	1.451	NUM
cuesj-733	221	75	0.276	0.276	NUM
cuesj-733	221	76	27.595	27.595	NUM
cuesj-733	221	77	1	1	NUM
cuesj-733	221	78	0.000	0.000	NUM
cuesj-733	221	79	*	*	PUNCT
cuesj-733	221	80	*	*	PUNCT
cuesj-733	221	81	*	*	PUNCT
cuesj-733	221	82	4.267	4.267	NUM
cuesj-733	221	83	2.483	2.483	NUM
cuesj-733	221	84	7.333	7.333	NUM
cuesj-733	221	85	weight	weight	NOUN
cuesj-733	221	86	0.011	0.011	NUM
cuesj-733	221	87	0.009	0.009	NUM
cuesj-733	221	88	1.327	1.327	NUM
cuesj-733	221	89	1	1	NUM
cuesj-733	221	90	0.249	0.249	NUM
cuesj-733	221	91	1.011	1.011	NUM
cuesj-733	221	92	0.992	0.992	NUM
cuesj-733	221	93	1.030	1.030	NUM
cuesj-733	221	94	constant	constant	ADJ
cuesj-733	221	95	−7.689	−7.689	NOUN
cuesj-733	221	96	1.294	1.294	NUM
cuesj-733	221	97	35.304	35.304	NUM
cuesj-733	221	98	1	1	NUM
cuesj-733	221	99	0.000	0.000	NUM
cuesj-733	221	100	0.000	0.000	NUM
cuesj-733	221	101	ci	ci	NOUN
cuesj-733	221	102	:	:	PUNCT
cuesj-733	221	103	confidence	confidence	NOUN
cuesj-733	221	104	interval	interval	NOUN
cuesj-733	221	105	,	,	PUNCT
cuesj-733	221	106	se	se	X
cuesj-733	221	107	:	:	PUNCT
cuesj-733	221	108	standard	standard	ADJ
cuesj-733	221	109	error	error	NOUN
cuesj-733	221	110	,	,	PUNCT
cuesj-733	221	111	*	*	PUNCT
cuesj-733	222	1	mean	mean	NOUN
cuesj-733	222	2	p	p	X
cuesj-733	222	3	≤	≤	NOUN
cuesj-733	222	4	0.05	0.05	NUM
cuesj-733	222	5	and	and	CCONJ
cuesj-733	222	6	*	*	PUNCT
cuesj-733	223	1	*	*	PUNCT
cuesj-733	223	2	*	*	PUNCT
cuesj-733	224	1	mean	mean	PROPN
cuesj-733	224	2	p	p	NOUN
cuesj-733	224	3	≤	≤	NOUN
cuesj-733	224	4	0.001	0.001	NUM
cuesj-733	224	5	table	table	NOUN
cuesj-733	224	6	11	11	NUM
cuesj-733	224	7	:	:	PUNCT
cuesj-733	224	8	comparison	comparison	NOUN
cuesj-733	224	9	tobit	tobit	PROPN
cuesj-733	224	10	regression	regression	PROPN
cuesj-733	224	11	model	model	NOUN
cuesj-733	224	12	(	(	PUNCT
cuesj-733	224	13	censored	censor	VERB
cuesj-733	224	14	)	)	PUNCT
cuesj-733	224	15	truncated	truncate	VERB
cuesj-733	224	16	regression	regression	NOUN
cuesj-733	224	17	model	model	NOUN
cuesj-733	224	18	logistic	logistic	ADJ
cuesj-733	224	19	regression	regression	NOUN
cuesj-733	224	20	model	model	NOUN
cuesj-733	225	1	aic=4265.1	aic=4265.1	PROPN
cuesj-733	225	2	aic=2574.6	aic=2574.6	NOUN
cuesj-733	225	3	aic=591.2	aic=591.2	NOUN
cuesj-733	225	4	bic=4294.6	bic=4294.6	NOUN
cuesj-733	225	5	bic=2602.0	bic=2602.0	PROPN
cuesj-733	225	6	bic=620.7	bic=620.7	ADJ
cuesj-733	225	7	aic	aic	PROPN
cuesj-733	225	8	:	:	PUNCT
cuesj-733	225	9	akaike	akaike	ADJ
cuesj-733	225	10	information	information	NOUN
cuesj-733	225	11	criterion	criterion	NOUN
cuesj-733	225	12	,	,	PUNCT
cuesj-733	225	13	bic	bic	PROPN
cuesj-733	225	14	:	:	PUNCT
cuesj-733	225	15	bayesian	bayesian	NOUN
cuesj-733	225	16	information	information	NOUN
cuesj-733	225	17	criterion	criterion	NOUN
cuesj-733	225	18	meran	meran	ADJ
cuesj-733	225	19	and	and	CCONJ
cuesj-733	225	20	sedeeq	sedeeq	NOUN
cuesj-733	225	21	:	:	PUNCT
cuesj-733	225	22	tobit	tobit	NOUN
cuesj-733	225	23	and	and	CCONJ
cuesj-733	225	24	logistic	logistic	ADJ
cuesj-733	225	25	regression	regression	NOUN
cuesj-733	225	26	models	model	NOUN
cuesj-733	225	27	140	140	NUM
cuesj-733	225	28	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-733	225	29	cuesj	cuesj	ADJ
cuesj-733	225	30	2022	2022	NUM
cuesj-733	225	31	,	,	PUNCT
cuesj-733	225	32	6	6	NUM
cuesj-733	225	33	(	(	PUNCT
cuesj-733	225	34	2	2	NUM
cuesj-733	225	35	):	):	PUNCT
cuesj-733	225	36	133	133	NUM
cuesj-733	225	37	-	-	SYM
cuesj-733	225	38	140	140	NUM
cuesj-733	225	39	regression	regression	NOUN
cuesj-733	225	40	method	method	NOUN
cuesj-733	225	41	to	to	PART
cuesj-733	225	42	analyze	analyze	VERB
cuesj-733	225	43	the	the	DET
cuesj-733	225	44	factors	factor	NOUN
cuesj-733	225	45	affecting	affect	VERB
cuesj-733	225	46	heart	heart	NOUN
cuesj-733	225	47	disease	disease	NOUN
cuesj-733	225	48	deaths	death	NOUN
cuesj-733	225	49	:	:	PUNCT
cuesj-733	225	50	an	an	DET
cuesj-733	225	51	applied	apply	VERB
cuesj-733	225	52	study	study	NOUN
cuesj-733	225	53	on	on	ADP
cuesj-733	225	54	a	a	DET
cuesj-733	225	55	sample	sample	NOUN
cuesj-733	225	56	of	of	ADP
cuesj-733	225	57	patients	patient	NOUN
cuesj-733	225	58	in	in	ADP
cuesj-733	225	59	dhi	dhi	PROPN
cuesj-733	225	60	qar	qar	PROPN
cuesj-733	225	61	governorate	governorate	PROPN
cuesj-733	225	62	.	.	PUNCT
cuesj-733	226	1	journal	journal	PROPN
cuesj-733	226	2	of	of	ADP
cuesj-733	226	3	al	al	PROPN
cuesj-733	226	4	-	-	PUNCT
cuesj-733	226	5	rafidain	rafidain	PROPN
cuesj-733	226	6	university	university	PROPN
cuesj-733	226	7	college	college	NOUN
cuesj-733	226	8	college	college	PROPN
cuesj-733	226	9	for	for	ADP
cuesj-733	226	10	sciences	science	NOUN
cuesj-733	226	11	,	,	PUNCT
cuesj-733	226	12	2020	2020	NUM
cuesj-733	226	13	,	,	PUNCT
cuesj-733	226	14	no	no	INTJ
cuesj-733	226	15	.	.	NOUN
cuesj-733	226	16	46	46	NUM
cuesj-733	226	17	,	,	PUNCT
cuesj-733	226	18	2020	2020	NUM
cuesj-733	226	19	.	.	PUNCT
cuesj-733	227	1	9	9	X
cuesj-733	227	2	.	.	X
cuesj-733	227	3	n.	n.	PROPN
cuesj-733	227	4	rambeli	rambeli	PROPN
cuesj-733	227	5	,	,	PUNCT
cuesj-733	227	6	e.	e.	PROPN
cuesj-733	227	7	hashim	hashim	PROPN
cuesj-733	227	8	,	,	PUNCT
cuesj-733	227	9	f.	f.	PROPN
cuesj-733	227	10	c.	c.	PROPN
cuesj-733	227	11	leh	leh	PROPN
cuesj-733	227	12	,	,	PUNCT
cuesj-733	227	13	n.	n.	PROPN
cuesj-733	227	14	s.	s.	PROPN
cuesj-733	227	15	hudin	hudin	PROPN
cuesj-733	227	16	,	,	PUNCT
cuesj-733	227	17	m.	m.	PROPN
cuesj-733	227	18	f.	f.	PROPN
cuesj-733	227	19	ramli	ramli	PROPN
cuesj-733	227	20	,	,	PUNCT
cuesj-733	227	21	m.	m.	PROPN
cuesj-733	227	22	c.	c.	PROPN
cuesj-733	227	23	mustafa	mustafa	PROPN
cuesj-733	227	24	,	,	PUNCT
cuesj-733	227	25	et	et	PROPN
cuesj-733	227	26	al	al	PROPN
cuesj-733	227	27	.	.	PUNCT
cuesj-733	227	28	decision	decision	NOUN
cuesj-733	227	29	to	to	PART
cuesj-733	227	30	leave	leave	VERB
cuesj-733	227	31	or	or	CCONJ
cuesj-733	227	32	remain	remain	VERB
cuesj-733	227	33	in	in	ADP
cuesj-733	227	34	the	the	DET
cuesj-733	227	35	career	career	NOUN
cuesj-733	227	36	as	as	ADP
cuesj-733	227	37	early	early	ADJ
cuesj-733	227	38	childhood	childhood	NOUN
cuesj-733	227	39	educator	educator	NOUN
cuesj-733	227	40	:	:	PUNCT
cuesj-733	227	41	a	a	DET
cuesj-733	227	42	binary	binary	ADJ
cuesj-733	227	43	logistic	logistic	ADJ
cuesj-733	227	44	regression	regression	NOUN
cuesj-733	227	45	model	model	NOUN
cuesj-733	227	46	.	.	PUNCT
cuesj-733	228	1	review	review	NOUN
cuesj-733	228	2	of	of	ADP
cuesj-733	228	3	international	international	ADJ
cuesj-733	228	4	geographical	geographical	ADJ
cuesj-733	228	5	education	education	NOUN
cuesj-733	228	6	online	online	NOUN
cuesj-733	228	7	,	,	PUNCT
cuesj-733	228	8	vol	vol	NOUN
cuesj-733	228	9	.	.	PROPN
cuesj-733	228	10	11	11	NUM
cuesj-733	228	11	,	,	PUNCT
cuesj-733	228	12	no	no	INTJ
cuesj-733	228	13	.	.	NOUN
cuesj-733	228	14	5	5	NUM
cuesj-733	228	15	,	,	PUNCT
cuesj-733	228	16	pp	pp	ADJ
cuesj-733	228	17	.	.	PUNCT
cuesj-733	229	1	450	450	NUM
cuesj-733	229	2	-	-	NUM
cuesj-733	229	3	456	456	NUM
cuesj-733	229	4	,	,	PUNCT
cuesj-733	229	5	2021	2021	NUM
cuesj-733	229	6	.	.	PUNCT
cuesj-733	230	1	10	10	NUM
cuesj-733	230	2	.	.	PUNCT
cuesj-733	230	3	g.	g.	PROPN
cuesj-733	230	4	s.	s.	PROPN
cuesj-733	230	5	maddala	maddala	PROPN
cuesj-733	230	6	.	.	PUNCT
cuesj-733	231	1	limited	limit	VERB
cuesj-733	231	2	-	-	PUNCT
cuesj-733	231	3	dependent	dependent	ADJ
cuesj-733	231	4	and	and	CCONJ
cuesj-733	231	5	qualitative	qualitative	ADJ
cuesj-733	231	6	variables	variable	NOUN
cuesj-733	231	7	in	in	ADP
cuesj-733	231	8	econometrics	econometric	NOUN
cuesj-733	231	9	.	.	PUNCT
cuesj-733	232	1	new	new	PROPN
cuesj-733	232	2	york	york	PROPN
cuesj-733	232	3	,	,	PUNCT
cuesj-733	232	4	ny	ny	PROPN
cuesj-733	232	5	:	:	PUNCT
cuesj-733	232	6	cambridge	cambridge	PROPN
cuesj-733	232	7	university	university	PROPN
cuesj-733	232	8	,	,	PUNCT
cuesj-733	232	9	1983	1983	NUM
cuesj-733	232	10	.	.	PUNCT
cuesj-733	233	1	11	11	NUM
cuesj-733	233	2	.	.	PUNCT
cuesj-733	233	3	n.	n.	PROPN
cuesj-733	233	4	m.	m.	PROPN
cuesj-733	233	5	ahmed	ahmed	PROPN
cuesj-733	233	6	.	.	PUNCT
cuesj-733	234	1	limited	limited	ADJ
cuesj-733	234	2	dependent	dependent	ADJ
cuesj-733	234	3	variable	variable	ADJ
cuesj-733	234	4	modelling	modelling	NOUN
cuesj-733	234	5	(	(	PUNCT
cuesj-733	234	6	truncated	truncated	ADJ
cuesj-733	234	7	and	and	CCONJ
cuesj-733	234	8	censored	censor	VERB
cuesj-733	234	9	regression	regression	NOUN
cuesj-733	234	10	models	model	NOUN
cuesj-733	234	11	)	)	PUNCT
cuesj-733	234	12	with	with	ADP
cuesj-733	234	13	application	application	NOUN
cuesj-733	234	14	.	.	PUNCT
cuesj-733	235	1	the	the	DET
cuesj-733	235	2	scientific	scientific	ADJ
cuesj-733	235	3	journal	journal	NOUN
cuesj-733	235	4	of	of	ADP
cuesj-733	235	5	cihan	cihan	PROPN
cuesj-733	235	6	university	university	NOUN
cuesj-733	235	7	sulaimanyia	sulaimanyia	NOUN
cuesj-733	235	8	,	,	PUNCT
cuesj-733	235	9	vol	vol	NOUN
cuesj-733	235	10	.	.	PROPN
cuesj-733	235	11	2	2	NUM
cuesj-733	235	12	,	,	PUNCT
cuesj-733	235	13	no	no	INTJ
cuesj-733	235	14	.	.	NOUN
cuesj-733	235	15	2	2	NUM
cuesj-733	235	16	,	,	PUNCT
cuesj-733	235	17	pp	pp	ADJ
cuesj-733	235	18	.	.	PUNCT
cuesj-733	236	1	82	82	NUM
cuesj-733	236	2	-	-	SYM
cuesj-733	236	3	96	96	NUM
cuesj-733	236	4	,	,	PUNCT
cuesj-733	236	5	2018	2018	NUM
cuesj-733	236	6	.	.	PUNCT
cuesj-733	237	1	12	12	NUM
cuesj-733	237	2	.	.	PUNCT
cuesj-733	238	1	t.	t.	PROPN
cuesj-733	238	2	amemiya	amemiya	PROPN
cuesj-733	238	3	.	.	PUNCT
cuesj-733	239	1	tobit	tobit	NOUN
cuesj-733	239	2	models	model	NOUN
cuesj-733	239	3	:	:	PUNCT
cuesj-733	239	4	a	a	DET
cuesj-733	239	5	survey	survey	NOUN
cuesj-733	239	6	.	.	PUNCT
cuesj-733	240	1	journal	journal	NOUN
cuesj-733	240	2	of	of	ADP
cuesj-733	240	3	econometrics	econometric	NOUN
cuesj-733	240	4	,	,	PUNCT
cuesj-733	240	5	vol	vol	NOUN
cuesj-733	240	6	.	.	PROPN
cuesj-733	240	7	24	24	NUM
cuesj-733	240	8	,	,	PUNCT
cuesj-733	240	9	no	no	INTJ
cuesj-733	240	10	.	.	PUNCT
cuesj-733	241	1	(	(	PUNCT
cuesj-733	241	2	1	1	NUM
cuesj-733	241	3	-	-	SYM
cuesj-733	241	4	2	2	NUM
cuesj-733	241	5	)	)	PUNCT
cuesj-733	241	6	,	,	PUNCT
cuesj-733	241	7	pp	pp	ADJ
cuesj-733	241	8	.	.	PUNCT
cuesj-733	242	1	3	3	NUM
cuesj-733	242	2	-	-	SYM
cuesj-733	242	3	61	61	NUM
cuesj-733	242	4	,	,	PUNCT
cuesj-733	242	5	1984	1984	NUM
cuesj-733	242	6	.	.	PUNCT
cuesj-733	243	1	13	13	NUM
cuesj-733	243	2	.	.	PUNCT
cuesj-733	243	3	j.	j.	PROPN
cuesj-733	243	4	s.	s.	PROPN
cuesj-733	243	5	long	long	PROPN
cuesj-733	243	6	,	,	PUNCT
cuesj-733	243	7	regression	regression	NOUN
cuesj-733	243	8	models	model	NOUN
cuesj-733	243	9	for	for	ADP
cuesj-733	243	10	categorical	categorical	ADJ
cuesj-733	243	11	and	and	CCONJ
cuesj-733	243	12	limited	limited	ADJ
cuesj-733	243	13	dependent	dependent	ADJ
cuesj-733	243	14	variables	variable	NOUN
cuesj-733	243	15	.	.	PUNCT
cuesj-733	244	1	thousand	thousand	NUM
cuesj-733	244	2	oaks	oak	NOUN
cuesj-733	244	3	,	,	PUNCT
cuesj-733	244	4	ca	can	AUX
cuesj-733	244	5	:	:	PUNCT
cuesj-733	244	6	saga	saga	NOUN
cuesj-733	244	7	publication	publication	NOUN
cuesj-733	244	8	,	,	PUNCT
cuesj-733	244	9	1997	1997	NUM
cuesj-733	244	10	.	.	PUNCT
cuesj-733	245	1	14	14	NUM
cuesj-733	245	2	.	.	PUNCT
cuesj-733	245	3	a.	a.	NOUN
cuesj-733	245	4	flaih	flaih	PROPN
cuesj-733	245	5	,	,	PUNCT
cuesj-733	245	6	j.	j.	PROPN
cuesj-733	245	7	guardiola	guardiola	PROPN
cuesj-733	245	8	,	,	PUNCT
cuesj-733	245	9	h.	h.	PROPN
cuesj-733	245	10	elsalloukh	elsalloukh	PROPN
cuesj-733	245	11	and	and	CCONJ
cuesj-733	245	12	c.	c.	PROPN
cuesj-733	245	13	akmyradov	akmyradov	PROPN
cuesj-733	245	14	.	.	PUNCT
cuesj-733	246	1	statistical	statistical	ADJ
cuesj-733	246	2	inference	inference	NOUN
cuesj-733	246	3	on	on	ADP
cuesj-733	246	4	the	the	DET
cuesj-733	246	5	esep	esep	PROPN
cuesj-733	246	6	tobit	tobit	PROPN
cuesj-733	246	7	regression	regression	PROPN
cuesj-733	246	8	model	model	NOUN
cuesj-733	246	9	.	.	PUNCT
cuesj-733	247	1	journal	journal	PROPN
cuesj-733	247	2	of	of	ADP
cuesj-733	247	3	statistics	statistic	NOUN
cuesj-733	247	4	applications	application	NOUN
cuesj-733	247	5	and	and	CCONJ
cuesj-733	247	6	probability	probability	NOUN
cuesj-733	247	7	letters	letter	NOUN
cuesj-733	247	8	,	,	PUNCT
cuesj-733	247	9	vol	vol	NOUN
cuesj-733	247	10	.	.	PROPN
cuesj-733	247	11	6	6	NUM
cuesj-733	247	12	,	,	PUNCT
cuesj-733	247	13	no	no	INTJ
cuesj-733	247	14	.	.	NOUN
cuesj-733	247	15	1	1	NUM
cuesj-733	247	16	,	,	PUNCT
cuesj-733	247	17	pp	pp	ADJ
cuesj-733	247	18	.	.	PUNCT
cuesj-733	248	1	1	1	NUM
cuesj-733	248	2	-	-	SYM
cuesj-733	248	3	9	9	NUM
cuesj-733	248	4	,	,	PUNCT
cuesj-733	248	5	2019	2019	NUM
cuesj-733	248	6	.	.	PUNCT
cuesj-733	249	1	15	15	NUM
cuesj-733	249	2	.	.	PUNCT
cuesj-733	250	1	k.	k.	PROPN
cuesj-733	250	2	y.	y.	PROPN
cuesj-733	250	3	chay	chay	PROPN
cuesj-733	250	4	and	and	CCONJ
cuesj-733	250	5	j.	j.	PROPN
cuesj-733	250	6	l.	l.	PROPN
cuesj-733	250	7	powell	powell	PROPN
cuesj-733	250	8	.	.	PUNCT
cuesj-733	251	1	semiparametric	semiparametric	VERB
cuesj-733	251	2	censored	censored	ADJ
cuesj-733	251	3	regression	regression	NOUN
cuesj-733	251	4	models	model	NOUN
cuesj-733	251	5	.	.	PUNCT
cuesj-733	252	1	journal	journal	NOUN
cuesj-733	252	2	of	of	ADP
cuesj-733	252	3	economic	economic	ADJ
cuesj-733	252	4	perspectives	perspective	NOUN
cuesj-733	252	5	,	,	PUNCT
cuesj-733	252	6	vol	vol	NOUN
cuesj-733	252	7	.	.	PROPN
cuesj-733	252	8	15	15	NUM
cuesj-733	252	9	,	,	PUNCT
cuesj-733	252	10	no	no	INTJ
cuesj-733	252	11	.	.	NOUN
cuesj-733	252	12	4	4	NUM
cuesj-733	252	13	,	,	PUNCT
cuesj-733	252	14	pp	pp	ADJ
cuesj-733	252	15	.	.	PUNCT
cuesj-733	253	1	29	29	NUM
cuesj-733	253	2	-	-	SYM
cuesj-733	253	3	42	42	NUM
cuesj-733	253	4	,	,	PUNCT
cuesj-733	253	5	2001	2001	NUM
cuesj-733	253	6	.	.	PUNCT
cuesj-733	254	1	16	16	NUM
cuesj-733	254	2	.	.	PUNCT
cuesj-733	255	1	d.	d.	PROPN
cuesj-733	255	2	hosmer	hosmer	PROPN
cuesj-733	255	3	jr	jr	PROPN
cuesj-733	255	4	.	.	PROPN
cuesj-733	255	5	,	,	PUNCT
cuesj-733	255	6	s.	s.	PROPN
cuesj-733	255	7	lemeshow	lemeshow	PROPN
cuesj-733	255	8	and	and	CCONJ
cuesj-733	255	9	r.	r.	PROPN
cuesj-733	255	10	sturdivant	sturdivant	PROPN
cuesj-733	255	11	.	.	PUNCT
cuesj-733	256	1	applied	apply	VERB
cuesj-733	256	2	logistic	logistic	ADJ
cuesj-733	256	3	regression	regression	NOUN
cuesj-733	256	4	.	.	PUNCT
cuesj-733	257	1	vol	vol	NOUN
cuesj-733	257	2	.	.	PROPN
cuesj-733	257	3	398	398	NUM
cuesj-733	257	4	.	.	PUNCT
cuesj-733	258	1	new	new	PROPN
cuesj-733	258	2	york	york	PROPN
cuesj-733	258	3	:	:	PUNCT
cuesj-733	258	4	john	john	PROPN
cuesj-733	258	5	wiley	wiley	PROPN
cuesj-733	258	6	and	and	CCONJ
cuesj-733	258	7	sons	son	NOUN
cuesj-733	258	8	,	,	PUNCT
cuesj-733	258	9	2013	2013	NUM
cuesj-733	258	10	.	.	PUNCT
cuesj-733	259	1	17	17	NUM
cuesj-733	259	2	.	.	PUNCT
cuesj-733	259	3	a.	a.	NOUN
cuesj-733	259	4	m.	m.	PROPN
cuesj-733	259	5	khudhur	khudhur	PROPN
cuesj-733	259	6	and	and	CCONJ
cuesj-733	259	7	d.	d.	PROPN
cuesj-733	259	8	h.	h.	PROPN
cuesj-733	259	9	kadir	kadir	PROPN
cuesj-733	259	10	.	.	PUNCT
cuesj-733	260	1	an	an	DET
cuesj-733	260	2	application	application	NOUN
cuesj-733	260	3	of	of	ADP
cuesj-733	260	4	logistic	logistic	ADJ
cuesj-733	260	5	regression	regression	NOUN
cuesj-733	260	6	modeling	modeling	NOUN
cuesj-733	260	7	to	to	PART
cuesj-733	260	8	predict	predict	VERB
cuesj-733	260	9	risk	risk	NOUN
cuesj-733	260	10	factors	factor	NOUN
cuesj-733	260	11	for	for	ADP
cuesj-733	260	12	bypass	bypass	NOUN
cuesj-733	260	13	graft	graft	NOUN
cuesj-733	260	14	diagnosis	diagnosis	NOUN
cuesj-733	260	15	in	in	ADP
cuesj-733	260	16	erbil	erbil	PROPN
cuesj-733	260	17	.	.	PUNCT
cuesj-733	261	1	cihan	cihan	VERB
cuesj-733	261	2	university	university	NOUN
cuesj-733	261	3	-	-	PUNCT
cuesj-733	261	4	erbil	erbil	PROPN
cuesj-733	261	5	scientific	scientific	ADJ
cuesj-733	261	6	journal	journal	NOUN
cuesj-733	261	7	,	,	PUNCT
cuesj-733	261	8	vol	vol	NOUN
cuesj-733	261	9	.	.	PROPN
cuesj-733	261	10	6	6	NUM
cuesj-733	261	11	,	,	PUNCT
cuesj-733	261	12	no	no	INTJ
cuesj-733	261	13	.	.	NOUN
cuesj-733	261	14	1	1	NUM
cuesj-733	261	15	,	,	PUNCT
cuesj-733	261	16	pp	pp	ADJ
cuesj-733	261	17	.	.	PUNCT
cuesj-733	262	1	57	57	NUM
cuesj-733	262	2	-	-	SYM
cuesj-733	262	3	63	63	NUM
cuesj-733	262	4	,	,	PUNCT
cuesj-733	262	5	2022	2022	NUM
cuesj-733	262	6	.	.	PUNCT
cuesj-733	263	1	18	18	NUM
cuesj-733	263	2	.	.	PUNCT
cuesj-733	263	3	n.	n.	PROPN
cuesj-733	263	4	m.	m.	PROPN
cuesj-733	263	5	m.	m.	PROPN
cuesj-733	263	6	abd	abd	PROPN
cuesj-733	263	7	elsalam	elsalam	PROPN
cuesj-733	263	8	.	.	PUNCT
cuesj-733	264	1	binary	binary	PROPN
cuesj-733	264	2	logistic	logistic	ADJ
cuesj-733	264	3	regression	regression	NOUN
cuesj-733	264	4	to	to	PART
cuesj-733	264	5	identify	identify	VERB
cuesj-733	264	6	the	the	DET
cuesj-733	264	7	risk	risk	NOUN
cuesj-733	264	8	factors	factor	NOUN
cuesj-733	264	9	of	of	ADP
cuesj-733	264	10	eye	eye	NOUN
cuesj-733	264	11	glaucoma	glaucoma	NOUN
cuesj-733	264	12	.	.	PUNCT
cuesj-733	265	1	international	international	ADJ
cuesj-733	265	2	journal	journal	PROPN
cuesj-733	265	3	of	of	ADP
cuesj-733	265	4	sciences	sciences	PROPN
cuesj-733	265	5	basic	basic	ADJ
cuesj-733	265	6	and	and	CCONJ
cuesj-733	265	7	applied	applied	ADJ
cuesj-733	265	8	research	research	NOUN
cuesj-733	265	9	,	,	PUNCT
cuesj-733	265	10	vol	vol	NOUN
cuesj-733	265	11	.	.	PROPN
cuesj-733	265	12	23	23	NUM
cuesj-733	265	13	,	,	PUNCT
cuesj-733	265	14	no	no	INTJ
cuesj-733	265	15	.	.	NOUN
cuesj-733	265	16	1	1	NUM
cuesj-733	265	17	,	,	PUNCT
cuesj-733	265	18	pp	pp	ADJ
cuesj-733	265	19	.	.	PUNCT
cuesj-733	266	1	366	366	NUM
cuesj-733	266	2	-	-	SYM
cuesj-733	266	3	376	376	NUM
cuesj-733	266	4	,	,	PUNCT
cuesj-733	266	5	2015	2015	NUM
cuesj-733	266	6	.	.	PUNCT
cuesj-733	267	1	19	19	NUM
cuesj-733	267	2	.	.	PUNCT
cuesj-733	267	3	n.	n.	PROPN
cuesj-733	267	4	s.	s.	PROPN
cuesj-733	267	5	k.	k.	PROPN
cuesj-733	267	6	barznj	barznj	PROPN
cuesj-733	267	7	.	.	PUNCT
cuesj-733	268	1	using	use	VERB
cuesj-733	268	2	logistic	logistic	ADJ
cuesj-733	268	3	regression	regression	NOUN
cuesj-733	268	4	analysis	analysis	NOUN
cuesj-733	268	5	and	and	CCONJ
cuesj-733	268	6	linear	linear	ADJ
cuesj-733	268	7	discriminant	discriminant	ADJ
cuesj-733	268	8	analysis	analysis	NOUN
cuesj-733	268	9	to	to	PART
cuesj-733	268	10	identify	identify	VERB
cuesj-733	268	11	the	the	DET
cuesj-733	268	12	risk	risk	NOUN
cuesj-733	268	13	factors	factor	NOUN
cuesj-733	268	14	of	of	ADP
cuesj-733	268	15	diabetes	diabetes	NOUN
cuesj-733	268	16	.	.	PUNCT
cuesj-733	269	1	zanco	zanco	PROPN
cuesj-733	269	2	journal	journal	PROPN
cuesj-733	269	3	of	of	ADP
cuesj-733	269	4	humanity	humanity	NOUN
cuesj-733	269	5	sciences	science	NOUN
cuesj-733	269	6	,	,	PUNCT
cuesj-733	269	7	vol	vol	NOUN
cuesj-733	269	8	.	.	PROPN
cuesj-733	269	9	22	22	NUM
cuesj-733	269	10	,	,	PUNCT
cuesj-733	269	11	no	no	INTJ
cuesj-733	269	12	.	.	NOUN
cuesj-733	269	13	6	6	NUM
cuesj-733	269	14	,	,	PUNCT
cuesj-733	269	15	pp	pp	ADJ
cuesj-733	269	16	.	.	PUNCT
cuesj-733	270	1	248	248	NUM
cuesj-733	270	2	-	-	SYM
cuesj-733	270	3	268	268	NUM
cuesj-733	270	4	,	,	PUNCT
cuesj-733	270	5	2018	2018	NUM
cuesj-733	270	6	.	.	PUNCT
cuesj-733	271	1	20	20	NUM
cuesj-733	271	2	.	.	PUNCT
cuesj-733	272	1	s.	s.	PROPN
cuesj-733	272	2	menard	menard	PROPN
cuesj-733	272	3	.	.	PUNCT
cuesj-733	273	1	applied	apply	VERB
cuesj-733	273	2	logistic	logistic	ADJ
cuesj-733	273	3	regression	regression	NOUN
cuesj-733	273	4	analysis	analysis	NOUN
cuesj-733	273	5	.	.	PUNCT
cuesj-733	274	1	vol	vol	NOUN
cuesj-733	274	2	.	.	PROPN
cuesj-733	274	3	106	106	NUM
cuesj-733	274	4	,	,	PUNCT
cuesj-733	274	5	new	new	PROPN
cuesj-733	274	6	york	york	PROPN
cuesj-733	274	7	:	:	PUNCT
cuesj-733	274	8	sage	sage	NOUN
cuesj-733	274	9	,	,	PUNCT
cuesj-733	274	10	2002	2002	NUM
cuesj-733	274	11	.	.	PUNCT
cuesj-733	275	1	21	21	NUM
cuesj-733	275	2	.	.	PUNCT
cuesj-733	275	3	n.	n.	PROPN
cuesj-733	275	4	h.	h.	PROPN
cuesj-733	275	5	mahmood	mahmood	PROPN
cuesj-733	275	6	,	,	PUNCT
cuesj-733	275	7	r.	r.	PROPN
cuesj-733	275	8	o.	o.	PROPN
cuesj-733	275	9	yahya	yahya	PROPN
cuesj-733	275	10	and	and	CCONJ
cuesj-733	275	11	s.	s.	PROPN
cuesj-733	275	12	j.	j.	PROPN
cuesj-733	275	13	aziz	aziz	PROPN
cuesj-733	275	14	.	.	PROPN
cuesj-733	275	15	apply	apply	VERB
cuesj-733	275	16	binary	binary	ADJ
cuesj-733	275	17	logistic	logistic	ADJ
cuesj-733	275	18	regression	regression	NOUN
cuesj-733	275	19	model	model	NOUN
cuesj-733	275	20	to	to	PART
cuesj-733	275	21	recognize	recognize	VERB
cuesj-733	275	22	the	the	DET
cuesj-733	275	23	risk	risk	NOUN
cuesj-733	275	24	factors	factor	NOUN
cuesj-733	275	25	of	of	ADP
cuesj-733	275	26	diabetes	diabetes	NOUN
cuesj-733	275	27	through	through	ADP
cuesj-733	275	28	measuring	measure	VERB
cuesj-733	275	29	glycated	glycate	VERB
cuesj-733	275	30	hemoglobin	hemoglobin	NOUN
cuesj-733	275	31	levels	level	NOUN
cuesj-733	275	32	.	.	PUNCT
cuesj-733	276	1	cihan	cihan	VERB
cuesj-733	276	2	university	university	NOUN
cuesj-733	276	3	-	-	PUNCT
cuesj-733	276	4	erbil	erbil	PROPN
cuesj-733	276	5	scientific	scientific	ADJ
cuesj-733	276	6	journal	journal	NOUN
cuesj-733	276	7	,	,	PUNCT
cuesj-733	276	8	vol	vol	NOUN
cuesj-733	276	9	.	.	PROPN
cuesj-733	276	10	6	6	NUM
cuesj-733	276	11	,	,	PUNCT
cuesj-733	276	12	no	no	INTJ
cuesj-733	276	13	.	.	NOUN
cuesj-733	276	14	1	1	NUM
cuesj-733	276	15	,	,	PUNCT
cuesj-733	276	16	pp	pp	ADJ
cuesj-733	276	17	.	.	PUNCT
cuesj-733	277	1	7	7	NUM
cuesj-733	277	2	-	-	SYM
cuesj-733	277	3	11	11	NUM
cuesj-733	277	4	,	,	PUNCT
cuesj-733	277	5	2022	2022	NUM
cuesj-733	277	6	.	.	PUNCT
cuesj-733	278	1	22	22	NUM
cuesj-733	278	2	.	.	PUNCT
cuesj-733	279	1	v.	v.	ADP
cuesj-733	279	2	bewick	bewick	PROPN
cuesj-733	279	3	,	,	PUNCT
cuesj-733	279	4	l.	l.	PROPN
cuesj-733	279	5	cheek	cheek	PROPN
cuesj-733	279	6	and	and	CCONJ
cuesj-733	279	7	j.	j.	PROPN
cuesj-733	279	8	ball	ball	PROPN
cuesj-733	279	9	.	.	PUNCT
cuesj-733	280	1	statistics	statistic	NOUN
cuesj-733	280	2	review	review	VERB
cuesj-733	280	3	14	14	NUM
cuesj-733	280	4	:	:	PUNCT
cuesj-733	280	5	logistic	logistic	ADJ
cuesj-733	280	6	regression	regression	NOUN
cuesj-733	280	7	.	.	PUNCT
cuesj-733	281	1	critical	critical	ADJ
cuesj-733	281	2	care	care	NOUN
cuesj-733	281	3	,	,	PUNCT
cuesj-733	281	4	vol	vol	NOUN
cuesj-733	281	5	.	.	PROPN
cuesj-733	281	6	9	9	NUM
cuesj-733	281	7	,	,	PUNCT
cuesj-733	281	8	no	no	INTJ
cuesj-733	281	9	.	.	NOUN
cuesj-733	281	10	1	1	NUM
cuesj-733	281	11	,	,	PUNCT
cuesj-733	281	12	pp.112	pp.112	PROPN
cuesj-733	281	13	-	-	X
cuesj-733	281	14	118	118	NUM
cuesj-733	281	15	,	,	PUNCT
cuesj-733	281	16	2005	2005	NUM
cuesj-733	281	17	.	.	PUNCT
cuesj-733	282	1	23	23	NUM
cuesj-733	282	2	.	.	PUNCT
cuesj-733	282	3	d.	d.	PROPN
cuesj-733	282	4	hosmer	hosmer	PROPN
cuesj-733	282	5	and	and	CCONJ
cuesj-733	282	6	s.	s.	PROPN
cuesj-733	282	7	lemeshow	lemeshow	PROPN
cuesj-733	282	8	.	.	PUNCT
cuesj-733	283	1	applied	apply	VERB
cuesj-733	283	2	logistic	logistic	ADJ
cuesj-733	283	3	regression	regression	NOUN
cuesj-733	283	4	.	.	PUNCT
cuesj-733	284	1	new	new	PROPN
cuesj-733	284	2	york	york	PROPN
cuesj-733	284	3	:	:	PUNCT
cuesj-733	284	4	johnson	johnson	PROPN
cuesj-733	284	5	wiley	wiley	PROPN
cuesj-733	284	6	and	and	CCONJ
cuesj-733	284	7	sons	son	NOUN
cuesj-733	284	8	,	,	PUNCT
cuesj-733	284	9	2000	2000	NUM
cuesj-733	284	10	.	.	PUNCT
cuesj-733	285	1	24	24	NUM
cuesj-733	285	2	.	.	PUNCT
cuesj-733	285	3	i.	i.	PROPN
cuesj-733	285	4	r.	r.	PROPN
cuesj-733	285	5	soderstrom	soderstrom	PROPN
cuesj-733	285	6	and	and	CCONJ
cuesj-733	285	7	d.	d.	PROPN
cuesj-733	285	8	w.	w.	PROPN
cuesj-733	285	9	leitner	leitner	PROPN
cuesj-733	285	10	.	.	PUNCT
cuesj-733	286	1	the	the	DET
cuesj-733	286	2	effects	effect	NOUN
cuesj-733	286	3	of	of	ADP
cuesj-733	286	4	base	base	NOUN
cuesj-733	286	5	rate	rate	NOUN
cuesj-733	286	6	,	,	PUNCT
cuesj-733	286	7	selection	selection	NOUN
cuesj-733	286	8	ratio	ratio	NOUN
cuesj-733	286	9	,	,	PUNCT
cuesj-733	286	10	sample	sample	NOUN
cuesj-733	286	11	size	size	NOUN
cuesj-733	286	12	,	,	PUNCT
cuesj-733	286	13	and	and	CCONJ
cuesj-733	286	14	reliability	reliability	NOUN
cuesj-733	286	15	of	of	ADP
cuesj-733	286	16	predictors	predictor	NOUN
cuesj-733	286	17	on	on	ADP
cuesj-733	286	18	predictive	predictive	ADJ
cuesj-733	286	19	efficiency	efficiency	NOUN
cuesj-733	286	20	indices	index	NOUN
cuesj-733	286	21	associated	associate	VERB
cuesj-733	286	22	with	with	ADP
cuesj-733	286	23	logistic	logistic	ADJ
cuesj-733	286	24	regression	regression	NOUN
cuesj-733	286	25	models	model	NOUN
cuesj-733	286	26	,	,	PUNCT
cuesj-733	286	27	1997	1997	NUM
cuesj-733	286	28	.	.	PUNCT
cuesj-733	287	1	25	25	NUM
cuesj-733	287	2	.	.	PUNCT
cuesj-733	288	1	s.	s.	PROPN
cuesj-733	288	2	konishi	konishi	PROPN
cuesj-733	288	3	and	and	CCONJ
cuesj-733	288	4	g.	g.	PROPN
cuesj-733	288	5	kitagawa	kitagawa	PROPN
cuesj-733	288	6	.	.	PUNCT
cuesj-733	289	1	information	information	NOUN
cuesj-733	289	2	criteria	criterion	NOUN
cuesj-733	289	3	and	and	CCONJ
cuesj-733	289	4	statistical	statistical	ADJ
cuesj-733	289	5	modeling	modeling	NOUN
cuesj-733	289	6	.	.	PUNCT
cuesj-733	290	1	berlin	berlin	ADJ
cuesj-733	290	2	:	:	PUNCT
cuesj-733	290	3	springer	springer	NOUN
cuesj-733	290	4	science	science	NOUN
cuesj-733	290	5	and	and	CCONJ
cuesj-733	290	6	business	business	NOUN
cuesj-733	290	7	media	medium	NOUN
cuesj-733	290	8	,	,	PUNCT
cuesj-733	290	9	2008	2008	NUM
cuesj-733	290	10	.	.	PUNCT
cuesj-733	291	1	26	26	NUM
cuesj-733	291	2	.	.	PUNCT
cuesj-733	291	3	k.	k.	PROPN
cuesj-733	291	4	i.	i.	PROPN
cuesj-733	291	5	mawlood	mawlood	PROPN
cuesj-733	291	6	.	.	PUNCT
cuesj-733	292	1	using	use	VERB
cuesj-733	292	2	logistic	logistic	ADJ
cuesj-733	292	3	regression	regression	NOUN
cuesj-733	292	4	and	and	CCONJ
cuesj-733	292	5	cox	cox	PROPN
cuesj-733	292	6	regression	regression	NOUN
cuesj-733	292	7	models	model	NOUN
cuesj-733	292	8	to	to	ADP
cuesj-733	292	9	studying	study	VERB
cuesj-733	292	10	the	the	DET
cuesj-733	292	11	most	most	ADV
cuesj-733	292	12	prognostic	prognostic	ADJ
cuesj-733	292	13	factors	factor	NOUN
cuesj-733	292	14	for	for	ADP
cuesj-733	292	15	leukemia	leukemia	NOUN
cuesj-733	292	16	patients	patient	NOUN
cuesj-733	292	17	.	.	PUNCT
cuesj-733	293	1	qalaai	qalaai	VERB
cuesj-733	293	2	zanist	zanist	ADJ
cuesj-733	293	3	scientific	scientific	ADJ
cuesj-733	293	4	journal	journal	NOUN
cuesj-733	293	5	,	,	PUNCT
cuesj-733	293	6	vol	vol	NOUN
cuesj-733	293	7	.	.	PROPN
cuesj-733	293	8	4	4	NUM
cuesj-733	293	9	,	,	PUNCT
cuesj-733	293	10	no	no	INTJ
cuesj-733	293	11	.	.	NOUN
cuesj-733	293	12	3	3	NUM
cuesj-733	293	13	,	,	PUNCT
cuesj-733	293	14	pp	pp	ADJ
cuesj-733	293	15	.	.	PUNCT
cuesj-733	294	1	705724	705724	NUM
cuesj-733	294	2	,	,	PUNCT
cuesj-733	294	3	2019	2019	NUM
cuesj-733	294	4	.	.	PUNCT