id sid tid token lemma pos iajs-2007 1 1 microsoft microsoft PROPN iajs-2007 1 2 word word PROPN iajs-2007 1 3 143 143 NUM iajs-2007 1 4 - - SYM iajs-2007 1 5 150 150 NUM iajs-2007 1 6 mathematics mathematic NOUN iajs-2007 1 7 | | ADV iajs-2007 1 8 143 143 NUM iajs-2007 1 9 ibn ibn PROPN iajs-2007 1 10 al al PROPN iajs-2007 1 11 - - PUNCT iajs-2007 1 12 haitham haitham PROPN iajs-2007 1 13 jour jour X iajs-2007 1 14 . . PROPN iajs-2007 2 1 for for ADP iajs-2007 2 2 pure pure ADJ iajs-2007 2 3 & & CCONJ iajs-2007 2 4 appl appl PROPN iajs-2007 2 5 . . PUNCT iajs-2007 3 1 sci sci PROPN iajs-2007 3 2 . . PROPN iajs-2007 3 3 ihjpas ihjpas PROPN iajs-2007 3 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 3 5 vol vol NOUN iajs-2007 3 6 . . PUNCT iajs-2007 4 1 31 31 NUM iajs-2007 5 1 ( ( PUNCT iajs-2007 5 2 3 3 NUM iajs-2007 5 3 ) ) SYM iajs-2007 5 4 2018 2018 NUM iajs-2007 5 5 use use NOUN iajs-2007 5 6 of of ADP iajs-2007 5 7 logistic logistic ADJ iajs-2007 5 8 regression regression NOUN iajs-2007 5 9 approach approach NOUN iajs-2007 5 10 to to PART iajs-2007 5 11 determine determine VERB iajs-2007 5 12 the the DET iajs-2007 5 13 effective effective ADJ iajs-2007 5 14 factors factor NOUN iajs-2007 5 15 causing cause VERB iajs-2007 5 16 renal renal ADJ iajs-2007 5 17 failure failure NOUN iajs-2007 5 18 disease disease NOUN iajs-2007 5 19 sami sami PROPN iajs-2007 5 20 jabbar jabbar PROPN iajs-2007 5 21 shappot shappot PROPN iajs-2007 5 22 sami.jabbar.19800@gmail.com sami.jabbar.19800@gmail.com PROPN iajs-2007 5 23 Β  Β  SPACE iajs-2007 5 24 hazim hazim NOUN iajs-2007 5 25 mansoor mansoor PROPN iajs-2007 5 26 gorgees gorgees PROPN iajs-2007 5 27 hazim5656@yahoo.com hazim5656@yahoo.com PUNCT iajs-2007 6 1 department department NOUN iajs-2007 6 2 , , PUNCT iajs-2007 6 3 of of ADP iajs-2007 6 4 mathematics mathematic NOUN iajs-2007 6 5 , , PUNCT iajs-2007 6 6 college college NOUN iajs-2007 6 7 of of ADP iajs-2007 6 8 education education NOUN iajs-2007 6 9 for for ADP iajs-2007 6 10 pure pure ADJ iajs-2007 6 11 science science NOUN iajs-2007 6 12 ibn ibn PROPN iajs-2007 6 13 al al PROPN iajs-2007 6 14 - - PUNCT iajs-2007 6 15 haitham haitham PROPN iajs-2007 6 16 , , PUNCT iajs-2007 6 17 university university PROPN iajs-2007 6 18 of of ADP iajs-2007 6 19 baghdad baghdad PROPN iajs-2007 6 20 , , PUNCT iajs-2007 6 21 baghdad baghdad PROPN iajs-2007 6 22 , , PUNCT iajs-2007 6 23 iraq iraq PROPN iajs-2007 6 24 article article NOUN iajs-2007 6 25 history history NOUN iajs-2007 6 26 : : PUNCT iajs-2007 6 27 received receive VERB iajs-2007 6 28 3 3 NUM iajs-2007 6 29 june june PROPN iajs-2007 6 30 2018 2018 NUM iajs-2007 6 31 , , PUNCT iajs-2007 6 32 accepted accept VERB iajs-2007 6 33 5 5 NUM iajs-2007 6 34 august august PROPN iajs-2007 6 35 2018 2018 NUM iajs-2007 6 36 , , PUNCT iajs-2007 6 37 published publish VERB iajs-2007 6 38 december december PROPN iajs-2007 6 39 2018 2018 NUM iajs-2007 6 40 " " PUNCT iajs-2007 6 41 " " PUNCT iajs-2007 6 42 abstract abstract ADJ iajs-2007 6 43 the the DET iajs-2007 6 44 main main ADJ iajs-2007 6 45 goal goal NOUN iajs-2007 6 46 of of ADP iajs-2007 6 47 this this DET iajs-2007 6 48 research research NOUN iajs-2007 6 49 is be AUX iajs-2007 6 50 to to PART iajs-2007 6 51 determine determine VERB iajs-2007 6 52 the the DET iajs-2007 6 53 impact impact NOUN iajs-2007 6 54 of of ADP iajs-2007 6 55 some some DET iajs-2007 6 56 variables variable NOUN iajs-2007 6 57 that that PRON iajs-2007 6 58 we we PRON iajs-2007 6 59 believe believe VERB iajs-2007 6 60 that that SCONJ iajs-2007 6 61 they they PRON iajs-2007 6 62 are be AUX iajs-2007 6 63 important important ADJ iajs-2007 6 64 to to PART iajs-2007 6 65 cause cause VERB iajs-2007 6 66 renal renal ADJ iajs-2007 6 67 failure failure NOUN iajs-2007 6 68 disease disease NOUN iajs-2007 6 69 by by ADP iajs-2007 6 70 using use VERB iajs-2007 6 71 logistic logistic ADJ iajs-2007 6 72 regression regression NOUN iajs-2007 6 73 approach approach NOUN iajs-2007 6 74 . . PUNCT iajs-2007 7 1 the the DET iajs-2007 7 2 study study NOUN iajs-2007 7 3 includes include VERB iajs-2007 7 4 eight eight NUM iajs-2007 7 5 explanatory explanatory ADJ iajs-2007 7 6 variables variable NOUN iajs-2007 7 7 and and CCONJ iajs-2007 7 8 the the DET iajs-2007 7 9 response response NOUN iajs-2007 7 10 variable variable NOUN iajs-2007 7 11 represented represent VERB iajs-2007 7 12 by by ADP iajs-2007 7 13 ( ( PUNCT iajs-2007 7 14 infected infected ADJ iajs-2007 7 15 , , PUNCT iajs-2007 7 16 uninfected uninfected ADJ iajs-2007 7 17 ) ) PUNCT iajs-2007 7 18 . . PUNCT iajs-2007 8 1 the the DET iajs-2007 8 2 statistical statistical ADJ iajs-2007 8 3 program program NOUN iajs-2007 8 4 spss spss NOUN iajs-2007 8 5 is be AUX iajs-2007 8 6 used use VERB iajs-2007 8 7 to to PART iajs-2007 8 8 perform perform VERB iajs-2007 8 9 the the DET iajs-2007 8 10 required require VERB iajs-2007 8 11 calculations calculation NOUN iajs-2007 8 12 . . PUNCT iajs-2007 9 1 key key ADJ iajs-2007 9 2 word word NOUN iajs-2007 9 3 : : PUNCT iajs-2007 9 4 renal renal ADJ iajs-2007 9 5 failure failure NOUN iajs-2007 9 6 disease disease NOUN iajs-2007 9 7 , , PUNCT iajs-2007 9 8 logistic logistic ADJ iajs-2007 9 9 regression regression NOUN iajs-2007 9 10 , , PUNCT iajs-2007 9 11 wald wald NOUN iajs-2007 9 12 test test NOUN iajs-2007 9 13 , , PUNCT iajs-2007 9 14 hosmer hosmer X iajs-2007 9 15 and and CCONJ iajs-2007 9 16 lemeshow lemeshow ADJ iajs-2007 9 17 test test NOUN iajs-2007 9 18 . . PUNCT iajs-2007 10 1 1 1 X iajs-2007 10 2 . . X iajs-2007 10 3 introduction introduction NOUN iajs-2007 10 4 it it PRON iajs-2007 10 5 is be AUX iajs-2007 10 6 well well ADV iajs-2007 10 7 known know VERB iajs-2007 10 8 that that SCONJ iajs-2007 10 9 the the DET iajs-2007 10 10 regression regression NOUN iajs-2007 10 11 model model NOUN iajs-2007 10 12 is be AUX iajs-2007 10 13 the the DET iajs-2007 10 14 most most ADV iajs-2007 10 15 popular popular ADJ iajs-2007 10 16 statistical statistical ADJ iajs-2007 10 17 models model NOUN iajs-2007 10 18 . . PUNCT iajs-2007 11 1 one one NUM iajs-2007 11 2 type type NOUN iajs-2007 11 3 of of ADP iajs-2007 11 4 regression regression NOUN iajs-2007 11 5 models model NOUN iajs-2007 11 6 is be AUX iajs-2007 11 7 known know VERB iajs-2007 11 8 as as ADP iajs-2007 11 9 logistic logistic ADJ iajs-2007 11 10 regression regression NOUN iajs-2007 11 11 . . PUNCT iajs-2007 12 1 this this DET iajs-2007 12 2 type type NOUN iajs-2007 12 3 is be AUX iajs-2007 12 4 suitable suitable ADJ iajs-2007 12 5 when when SCONJ iajs-2007 12 6 the the DET iajs-2007 12 7 response response NOUN iajs-2007 12 8 variable variable NOUN iajs-2007 12 9 is be AUX iajs-2007 12 10 binary binary ADJ iajs-2007 12 11 variable variable NOUN iajs-2007 12 12 , , PUNCT iajs-2007 12 13 while while SCONJ iajs-2007 12 14 the the DET iajs-2007 12 15 explanatory explanatory ADJ iajs-2007 12 16 variables variable NOUN iajs-2007 12 17 may may AUX iajs-2007 12 18 be be AUX iajs-2007 12 19 categorical categorical ADJ iajs-2007 12 20 or or CCONJ iajs-2007 12 21 continuous continuous ADJ iajs-2007 12 22 variables variable NOUN iajs-2007 12 23 . . PUNCT iajs-2007 13 1 practically practically ADV iajs-2007 13 2 situations situation NOUN iajs-2007 13 3 involving involve VERB iajs-2007 13 4 categorical categorical ADJ iajs-2007 13 5 outcomes outcome NOUN iajs-2007 13 6 are be AUX iajs-2007 13 7 quite quite ADV iajs-2007 13 8 common common ADJ iajs-2007 13 9 . . PUNCT iajs-2007 14 1 in in ADP iajs-2007 14 2 a a DET iajs-2007 14 3 medical medical ADJ iajs-2007 14 4 setting setting NOUN iajs-2007 14 5 for for ADP iajs-2007 14 6 example example NOUN iajs-2007 14 7 , , PUNCT iajs-2007 14 8 an an DET iajs-2007 14 9 outcome outcome NOUN iajs-2007 14 10 might might AUX iajs-2007 14 11 be be AUX iajs-2007 14 12 presence presence NOUN iajs-2007 14 13 or or CCONJ iajs-2007 14 14 absence absence NOUN iajs-2007 14 15 of of ADP iajs-2007 14 16 a a DET iajs-2007 14 17 disease disease NOUN iajs-2007 14 18 . . PUNCT iajs-2007 15 1 logistic logistic ADJ iajs-2007 15 2 regression regression NOUN iajs-2007 15 3 is be AUX iajs-2007 15 4 based base VERB iajs-2007 15 5 on on ADP iajs-2007 15 6 the the DET iajs-2007 15 7 logit logit NOUN iajs-2007 15 8 transformation transformation NOUN iajs-2007 15 9 of of ADP iajs-2007 15 10 dependent dependent ADJ iajs-2007 15 11 variable variable NOUN iajs-2007 15 12 . . PUNCT iajs-2007 16 1 this this DET iajs-2007 16 2 transformation transformation NOUN iajs-2007 16 3 is be AUX iajs-2007 16 4 necessary necessary ADJ iajs-2007 16 5 since since SCONJ iajs-2007 16 6 dichotomous dichotomous ADJ iajs-2007 16 7 dependent dependent ADJ iajs-2007 16 8 data datum NOUN iajs-2007 16 9 violates violate VERB iajs-2007 16 10 least least ADJ iajs-2007 16 11 squares square NOUN iajs-2007 16 12 assumptions assumption NOUN iajs-2007 16 13 , , PUNCT iajs-2007 16 14 furthermore furthermore ADV iajs-2007 16 15 , , PUNCT iajs-2007 16 16 the the DET iajs-2007 16 17 error error NOUN iajs-2007 16 18 terms term NOUN iajs-2007 16 19 are be AUX iajs-2007 16 20 not not PART iajs-2007 16 21 normally normally ADV iajs-2007 16 22 distributed distribute VERB iajs-2007 16 23 which which PRON iajs-2007 16 24 implies imply VERB iajs-2007 16 25 that that SCONJ iajs-2007 16 26 all all DET iajs-2007 16 27 normality normality NOUN iajs-2007 16 28 tests test NOUN iajs-2007 16 29 become become VERB iajs-2007 16 30 invalid invalid ADJ iajs-2007 16 31 [ [ X iajs-2007 16 32 1 1 NUM iajs-2007 16 33 ] ] PUNCT iajs-2007 16 34 . . PUNCT iajs-2007 17 1 2 2 X iajs-2007 17 2 . . X iajs-2007 17 3 assumptions assumption NOUN iajs-2007 17 4 of of ADP iajs-2007 17 5 logistic logistic ADJ iajs-2007 17 6 regression regression NOUN iajs-2007 17 7 the the DET iajs-2007 17 8 main main ADJ iajs-2007 17 9 difference difference NOUN iajs-2007 17 10 between between ADP iajs-2007 17 11 the the DET iajs-2007 17 12 linear linear ADJ iajs-2007 17 13 regression regression NOUN iajs-2007 17 14 analysis analysis NOUN iajs-2007 17 15 and and CCONJ iajs-2007 17 16 the the DET iajs-2007 17 17 logistic logistic ADJ iajs-2007 17 18 regression regression NOUN iajs-2007 17 19 analysis analysis NOUN iajs-2007 17 20 is be AUX iajs-2007 17 21 that that SCONJ iajs-2007 17 22 the the DET iajs-2007 17 23 normally normally ADV iajs-2007 17 24 distributed distribute VERB iajs-2007 17 25 dependent dependent ADJ iajs-2007 17 26 variable variable NOUN iajs-2007 17 27 and and CCONJ iajs-2007 17 28 homogeniety homogeniety NOUN iajs-2007 17 29 of of ADP iajs-2007 17 30 the the DET iajs-2007 17 31 variance variance NOUN iajs-2007 17 32 are be AUX iajs-2007 17 33 not not PART iajs-2007 17 34 required require VERB iajs-2007 17 35 in in ADP iajs-2007 17 36 logistic logistic ADJ iajs-2007 17 37 regression regression NOUN iajs-2007 17 38 analysis analysis NOUN iajs-2007 17 39 . . PUNCT iajs-2007 18 1 the the DET iajs-2007 18 2 probabilities probability NOUN iajs-2007 18 3 and and CCONJ iajs-2007 18 4 the the DET iajs-2007 18 5 nature nature NOUN iajs-2007 18 6 of of ADP iajs-2007 18 7 log log NOUN iajs-2007 18 8 curve curve NOUN iajs-2007 18 9 are be AUX iajs-2007 18 10 the the DET iajs-2007 18 11 basis basis NOUN iajs-2007 18 12 of of ADP iajs-2007 18 13 the the DET iajs-2007 18 14 theory theory NOUN iajs-2007 18 15 underlying underlie VERB iajs-2007 18 16 logistic logistic ADJ iajs-2007 18 17 regression regression NOUN iajs-2007 18 18 . . PUNCT iajs-2007 19 1 the the DET iajs-2007 19 2 only only ADJ iajs-2007 19 3 assumptions assumption NOUN iajs-2007 19 4 of of ADP iajs-2007 19 5 logistic logistic ADJ iajs-2007 19 6 regression regression NOUN iajs-2007 19 7 are be AUX iajs-2007 19 8 that that SCONJ iajs-2007 19 9 the the DET iajs-2007 19 10 resulting result VERB iajs-2007 19 11 logit logit NOUN iajs-2007 19 12 transformation transformation NOUN iajs-2007 19 13 is be AUX iajs-2007 19 14 linear linear ADJ iajs-2007 19 15 , , PUNCT iajs-2007 19 16 the the DET iajs-2007 19 17 resultant resultant NOUN iajs-2007 19 18 logarithmic logarithmic ADJ iajs-2007 19 19 curve curve NOUN iajs-2007 19 20 does do AUX iajs-2007 19 21 not not PART iajs-2007 19 22 include include VERB iajs-2007 19 23 outliers outlier NOUN iajs-2007 19 24 , , PUNCT iajs-2007 19 25 the the DET iajs-2007 19 26 dependent dependent ADJ iajs-2007 19 27 variable variable NOUN iajs-2007 19 28 must must AUX iajs-2007 19 29 be be AUX iajs-2007 19 30 categorical categorical ADJ iajs-2007 19 31 and and CCONJ iajs-2007 19 32 the the DET iajs-2007 19 33 categories category NOUN iajs-2007 19 34 have have VERB iajs-2007 19 35 to to PART iajs-2007 19 36 be be AUX iajs-2007 19 37 mutually mutually ADV iajs-2007 19 38 exclusive exclusive ADJ iajs-2007 19 39 so so SCONJ iajs-2007 19 40 that that SCONJ iajs-2007 19 41 a a DET iajs-2007 19 42 case case NOUN iajs-2007 19 43 can can AUX iajs-2007 19 44 be be AUX iajs-2007 19 45 only only ADV iajs-2007 19 46 in in ADP iajs-2007 19 47 one one NUM iajs-2007 19 48 category category NOUN iajs-2007 19 49 and and CCONJ iajs-2007 19 50 every every DET iajs-2007 19 51 case case NOUN iajs-2007 19 52 must must AUX iajs-2007 19 53 be be AUX iajs-2007 19 54 a a DET iajs-2007 19 55 member member NOUN iajs-2007 19 56 of of ADP iajs-2007 19 57 one one NUM iajs-2007 19 58 of of ADP iajs-2007 19 59 the the DET iajs-2007 19 60 categories category NOUN iajs-2007 20 1 [ [ X iajs-2007 20 2 2 2 NUM iajs-2007 20 3 ] ] PUNCT iajs-2007 20 4 . . PUNCT iajs-2007 21 1 3 3 X iajs-2007 21 2 . . X iajs-2007 21 3 types type NOUN iajs-2007 21 4 of of ADP iajs-2007 21 5 logistic logistic ADJ iajs-2007 21 6 regression regression NOUN iajs-2007 21 7 two two NUM iajs-2007 21 8 types type NOUN iajs-2007 21 9 of of ADP iajs-2007 21 10 logistic logistic ADJ iajs-2007 21 11 regression regression NOUN iajs-2007 21 12 can can AUX iajs-2007 21 13 be be AUX iajs-2007 21 14 identified identify VERB iajs-2007 21 15 , , PUNCT iajs-2007 21 16 namely namely ADV iajs-2007 21 17 , , PUNCT iajs-2007 21 18 the the DET iajs-2007 21 19 binary binary ADJ iajs-2007 21 20 and and CCONJ iajs-2007 21 21 multinomial multinomial ADJ iajs-2007 21 22 logistic logistic ADJ iajs-2007 21 23 regression regression NOUN iajs-2007 21 24 . . PUNCT iajs-2007 22 1 binary binary ADJ iajs-2007 22 2 logistic logistic ADJ iajs-2007 22 3 regression regression NOUN iajs-2007 22 4 is be AUX iajs-2007 22 5 a a DET iajs-2007 22 6 predictive predictive ADJ iajs-2007 22 7 model model NOUN iajs-2007 22 8 that that PRON iajs-2007 22 9 can can AUX iajs-2007 22 10 be be AUX iajs-2007 22 11 used use VERB iajs-2007 22 12 when when SCONJ iajs-2007 22 13 the the DET iajs-2007 22 14 categorical categorical ADJ iajs-2007 22 15 response response NOUN iajs-2007 22 16 variable variable NOUN iajs-2007 22 17 consists consist VERB iajs-2007 22 18 of of ADP iajs-2007 22 19 two two NUM iajs-2007 22 20 categories category NOUN iajs-2007 22 21 . . PUNCT iajs-2007 23 1 mathematics mathematic NOUN iajs-2007 23 2 | | ADV iajs-2007 23 3 144 144 NUM iajs-2007 23 4 ibn ibn PROPN iajs-2007 23 5 al al PROPN iajs-2007 23 6 - - PUNCT iajs-2007 23 7 haitham haitham PROPN iajs-2007 23 8 jour jour X iajs-2007 23 9 . . PROPN iajs-2007 24 1 for for ADP iajs-2007 24 2 pure pure ADJ iajs-2007 24 3 & & CCONJ iajs-2007 24 4 appl appl PROPN iajs-2007 24 5 . . PUNCT iajs-2007 25 1 sci sci PROPN iajs-2007 25 2 . . PROPN iajs-2007 25 3 ihjpas ihjpas PROPN iajs-2007 25 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 25 5 vol vol NOUN iajs-2007 25 6 . . PUNCT iajs-2007 26 1 31 31 NUM iajs-2007 27 1 ( ( PUNCT iajs-2007 27 2 3 3 NUM iajs-2007 27 3 ) ) PUNCT iajs-2007 27 4 2018 2018 NUM iajs-2007 27 5 for for ADP iajs-2007 27 6 example example NOUN iajs-2007 27 7 , , PUNCT iajs-2007 27 8 live live ADJ iajs-2007 27 9 |die |die NOUN iajs-2007 27 10 , , PUNCT iajs-2007 27 11 presence presence NOUN iajs-2007 27 12 absence absence NOUN iajs-2007 27 13 of of ADP iajs-2007 27 14 a a DET iajs-2007 27 15 disease disease NOUN iajs-2007 27 16 . . PUNCT iajs-2007 28 1 multinomial multinomial ADJ iajs-2007 28 2 logistic logistic ADJ iajs-2007 28 3 regression regression NOUN iajs-2007 28 4 is be AUX iajs-2007 28 5 an an DET iajs-2007 28 6 extension extension NOUN iajs-2007 28 7 of of ADP iajs-2007 28 8 binary binary ADJ iajs-2007 28 9 type type NOUN iajs-2007 28 10 so so SCONJ iajs-2007 28 11 that that SCONJ iajs-2007 28 12 it it PRON iajs-2007 28 13 allows allow VERB iajs-2007 28 14 the the DET iajs-2007 28 15 response response NOUN iajs-2007 28 16 variable variable ADJ iajs-2007 28 17 to to PART iajs-2007 28 18 include include VERB iajs-2007 28 19 more more ADJ iajs-2007 28 20 than than ADP iajs-2007 28 21 two two NUM iajs-2007 28 22 categories category NOUN iajs-2007 28 23 , , PUNCT iajs-2007 28 24 however however ADV iajs-2007 28 25 , , PUNCT iajs-2007 28 26 the the DET iajs-2007 28 27 focus focus NOUN iajs-2007 28 28 on on ADP iajs-2007 28 29 this this DET iajs-2007 28 30 paper paper NOUN iajs-2007 28 31 is be AUX iajs-2007 28 32 on on ADP iajs-2007 28 33 the the DET iajs-2007 28 34 binary binary PROPN iajs-2007 28 35 logistic logistic ADJ iajs-2007 28 36 regression regression NOUN iajs-2007 28 37 . . PUNCT iajs-2007 29 1 4 4 X iajs-2007 29 2 . . X iajs-2007 29 3 the the DET iajs-2007 29 4 logit logit PROPN iajs-2007 29 5 model model NOUN iajs-2007 29 6 assuming assume VERB iajs-2007 29 7 that that SCONJ iajs-2007 29 8 𝑦 𝑦 NOUN iajs-2007 29 9 , , PUNCT iajs-2007 29 10 𝑦 𝑦 NOUN iajs-2007 29 11 , , PUNCT iajs-2007 29 12 … … PUNCT iajs-2007 29 13 … … PUNCT iajs-2007 29 14 𝑦 𝑦 NOUN iajs-2007 29 15 denoted denote VERB iajs-2007 29 16 n n DET iajs-2007 29 17 independent independent ADJ iajs-2007 29 18 observations observation NOUN iajs-2007 29 19 on on ADP iajs-2007 29 20 a a DET iajs-2007 29 21 binary binary ADJ iajs-2007 29 22 response response NOUN iajs-2007 29 23 variable variable ADJ iajs-2007 29 24 y y PROPN iajs-2007 29 25 : : PUNCT iajs-2007 29 26 let let VERB iajs-2007 29 27 πœ‹ πœ‹ PRON iajs-2007 29 28 be be AUX iajs-2007 29 29 the the DET iajs-2007 29 30 probability probability NOUN iajs-2007 29 31 that that SCONJ iajs-2007 29 32 𝑦 𝑦 NOUN iajs-2007 29 33 = = NOUN iajs-2007 29 34 1 1 NUM iajs-2007 29 35 then then ADV iajs-2007 29 36 for for ADP iajs-2007 29 37 p p X iajs-2007 29 38 explanatory explanatory ADJ iajs-2007 29 39 variables variable NOUN iajs-2007 29 40 , , PUNCT iajs-2007 29 41 the the DET iajs-2007 29 42 logit logit NOUN iajs-2007 29 43 model model NOUN iajs-2007 29 44 is be AUX iajs-2007 29 45 defined define VERB iajs-2007 29 46 as as ADP iajs-2007 29 47 : : PUNCT iajs-2007 29 48 π‘™π‘œπ‘” π‘™π‘œπ‘” NOUN iajs-2007 29 49 πœ‹ πœ‹ NOUN iajs-2007 29 50 1 1 NUM iajs-2007 29 51 πœ‹ πœ‹ NOUN iajs-2007 29 52 𝛽 𝛽 NOUN iajs-2007 29 53 𝛽 𝛽 NOUN iajs-2007 29 54 π‘₯ π‘₯ PRON iajs-2007 29 55 𝛽 𝛽 NOUN iajs-2007 29 56 π‘₯ π‘₯ X iajs-2007 29 57 β‹― β‹― PROPN iajs-2007 29 58 … … PUNCT iajs-2007 29 59 … … PUNCT iajs-2007 30 1 𝛽 𝛽 X iajs-2007 30 2 π‘₯ π‘₯ NOUN iajs-2007 30 3 1 1 NUM iajs-2007 30 4 unlike unlike ADP iajs-2007 30 5 the the DET iajs-2007 30 6 usual usual ADJ iajs-2007 30 7 linear linear PROPN iajs-2007 30 8 regression regression NOUN iajs-2007 30 9 model model NOUN iajs-2007 30 10 , , PUNCT iajs-2007 30 11 there there PRON iajs-2007 30 12 is be VERB iajs-2007 30 13 no no DET iajs-2007 30 14 random random ADJ iajs-2007 30 15 error error NOUN iajs-2007 30 16 term term NOUN iajs-2007 30 17 in in ADP iajs-2007 30 18 the the DET iajs-2007 30 19 expression expression NOUN iajs-2007 30 20 for for ADP iajs-2007 30 21 logit logit NOUN iajs-2007 30 22 model model NOUN iajs-2007 30 23 , , PUNCT iajs-2007 30 24 this this PRON iajs-2007 30 25 does do AUX iajs-2007 30 26 n’t not PART iajs-2007 30 27 mean mean VERB iajs-2007 30 28 that that SCONJ iajs-2007 30 29 the the DET iajs-2007 30 30 model model NOUN iajs-2007 30 31 is be AUX iajs-2007 30 32 deterministic deterministic ADJ iajs-2007 30 33 since since SCONJ iajs-2007 30 34 there there PRON iajs-2007 30 35 is be VERB iajs-2007 30 36 still still ADV iajs-2007 30 37 room room NOUN iajs-2007 30 38 for for ADP iajs-2007 30 39 random random ADJ iajs-2007 30 40 variation variation NOUN iajs-2007 30 41 represented represent VERB iajs-2007 30 42 by by ADP iajs-2007 30 43 probabilistic probabilistic ADJ iajs-2007 30 44 relationship relationship NOUN iajs-2007 30 45 between between ADP iajs-2007 30 46 πœ‹ πœ‹ NOUN iajs-2007 30 47 and and CCONJ iajs-2007 30 48 𝑦 𝑦 PROPN iajs-2007 30 49 .we .we PUNCT iajs-2007 30 50 can can AUX iajs-2007 30 51 solve solve VERB iajs-2007 30 52 the the DET iajs-2007 30 53 logit logit NOUN iajs-2007 30 54 model model NOUN iajs-2007 30 55 for for SCONJ iajs-2007 30 56 πœ‹ πœ‹ PRON iajs-2007 30 57 to to PART iajs-2007 30 58 obtain obtain VERB iajs-2007 30 59 πœ‹ πœ‹ NOUN iajs-2007 30 60 exp exp NOUN iajs-2007 30 61 𝛽 𝛽 PROPN iajs-2007 30 62 𝛽 𝛽 PROPN iajs-2007 30 63 π‘₯ π‘₯ PROPN iajs-2007 30 64 𝛽 𝛽 NOUN iajs-2007 30 65 π‘₯ π‘₯ PROPN iajs-2007 30 66 β‹― β‹― PROPN iajs-2007 30 67 . . PUNCT iajs-2007 30 68 . . PUNCT iajs-2007 31 1 𝛽 𝛽 NOUN iajs-2007 31 2 π‘₯ π‘₯ NOUN iajs-2007 31 3 1 1 NUM iajs-2007 31 4 exp exp NOUN iajs-2007 31 5 𝛽 𝛽 PROPN iajs-2007 31 6 𝛽 𝛽 PROPN iajs-2007 31 7 π‘₯ π‘₯ PROPN iajs-2007 31 8 𝛽 𝛽 NOUN iajs-2007 31 9 π‘₯ π‘₯ PROPN iajs-2007 31 10 β‹― β‹― PROPN iajs-2007 31 11 . . PUNCT iajs-2007 31 12 . . PUNCT iajs-2007 32 1 𝛽 𝛽 NOUN iajs-2007 32 2 π‘₯ π‘₯ NOUN iajs-2007 32 3 2 2 NUM iajs-2007 32 4 where where SCONJ iajs-2007 32 5 𝛽′= 𝛽′= PROPN iajs-2007 32 6 ( ( PUNCT iajs-2007 32 7 𝛽 𝛽 PROPN iajs-2007 32 8 , , PUNCT iajs-2007 32 9 𝛽 𝛽 PROPN iajs-2007 32 10 , , PUNCT iajs-2007 32 11 𝛽 𝛽 PROPN iajs-2007 32 12 , , PUNCT iajs-2007 32 13 … … PUNCT iajs-2007 32 14 . . PUNCT iajs-2007 33 1 , , PUNCT iajs-2007 33 2 𝛽 𝛽 NOUN iajs-2007 33 3 ) ) PUNCT iajs-2007 33 4 is be AUX iajs-2007 33 5 avector avector NOUN iajs-2007 33 6 of of ADP iajs-2007 33 7 unknown unknown ADJ iajs-2007 33 8 parameters parameter NOUN iajs-2007 33 9 , , PUNCT iajs-2007 33 10 π‘₯ π‘₯ PROPN iajs-2007 33 11 1 1 NUM iajs-2007 33 12 , , PUNCT iajs-2007 33 13 π‘₯ π‘₯ X iajs-2007 33 14 , , PUNCT iajs-2007 33 15 … … PUNCT iajs-2007 33 16 … … PUNCT iajs-2007 33 17 π‘₯ π‘₯ PRON iajs-2007 33 18 is be AUX iajs-2007 33 19 avector avector NOUN iajs-2007 33 20 of of ADP iajs-2007 33 21 explanatory explanatory ADJ iajs-2007 33 22 variables variable NOUN iajs-2007 33 23 ( ( PUNCT iajs-2007 33 24 1 1 NUM iajs-2007 33 25 is be AUX iajs-2007 33 26 for for SCONJ iajs-2007 33 27 the the DET iajs-2007 33 28 intercept intercept NOUN iajs-2007 33 29 ) ) PUNCT iajs-2007 33 30 equation equation NOUN iajs-2007 33 31 ( ( PUNCT iajs-2007 33 32 2 2 X iajs-2007 33 33 ) ) PUNCT iajs-2007 33 34 can can AUX iajs-2007 33 35 be be AUX iajs-2007 33 36 simplified simplify VERB iajs-2007 33 37 as as SCONJ iajs-2007 33 38 follows follow VERB iajs-2007 33 39 πœ‹ πœ‹ NOUN iajs-2007 33 40 1 1 NUM iajs-2007 33 41 1 1 NUM iajs-2007 33 42 𝑒 𝑒 PROPN iajs-2007 33 43 3 3 NUM iajs-2007 33 44 this this DET iajs-2007 33 45 equation equation NOUN iajs-2007 33 46 has have AUX iajs-2007 33 47 desired desire VERB iajs-2007 33 48 property property NOUN iajs-2007 33 49 that that PRON iajs-2007 33 50 whatever whatever PRON iajs-2007 33 51 we we PRON iajs-2007 33 52 substitute substitute VERB iajs-2007 33 53 for for ADP iajs-2007 33 54 𝛽′𝑠 𝛽′𝑠 NOUN iajs-2007 33 55 or or CCONJ iajs-2007 33 56 π‘₯ π‘₯ NOUN iajs-2007 33 57 𝑠 𝑠 INTJ iajs-2007 33 58 , , PUNCT iajs-2007 33 59 the the DET iajs-2007 33 60 value value NOUN iajs-2007 33 61 of of ADP iajs-2007 33 62 πœ‹ πœ‹ PRON iajs-2007 33 63 will will AUX iajs-2007 33 64 always always ADV iajs-2007 33 65 be be AUX iajs-2007 33 66 a a DET iajs-2007 33 67 number number NOUN iajs-2007 33 68 between between ADP iajs-2007 33 69 0 0 NUM iajs-2007 33 70 and and CCONJ iajs-2007 33 71 1 1 NUM iajs-2007 33 72 . . NOUN iajs-2007 33 73 5 5 NUM iajs-2007 33 74 . . PUNCT iajs-2007 33 75 maximum maximum ADJ iajs-2007 33 76 likelihood likelihood NOUN iajs-2007 33 77 estimator estimator NOUN iajs-2007 33 78 the the DET iajs-2007 33 79 data datum NOUN iajs-2007 33 80 with with ADP iajs-2007 33 81 binary binary ADJ iajs-2007 33 82 response response NOUN iajs-2007 33 83 variable variable NOUN iajs-2007 33 84 is be AUX iajs-2007 33 85 one one NUM iajs-2007 33 86 case case NOUN iajs-2007 33 87 that that SCONJ iajs-2007 33 88 maximum maximum ADJ iajs-2007 33 89 likelihood likelihood NOUN iajs-2007 33 90 method method NOUN iajs-2007 33 91 handles handle VERB iajs-2007 33 92 very very ADV iajs-2007 33 93 nicely nicely ADV iajs-2007 33 94 . . PUNCT iajs-2007 34 1 the the DET iajs-2007 34 2 likelihood likelihood NOUN iajs-2007 34 3 of of ADP iajs-2007 34 4 observing observe VERB iajs-2007 34 5 the the DET iajs-2007 34 6 values value NOUN iajs-2007 34 7 of of ADP iajs-2007 34 8 y y PROPN iajs-2007 34 9 for for ADP iajs-2007 34 10 all all PRON iajs-2007 34 11 of of ADP iajs-2007 34 12 the the DET iajs-2007 34 13 n n NOUN iajs-2007 34 14 observations observation NOUN iajs-2007 34 15 can can AUX iajs-2007 34 16 be be AUX iajs-2007 34 17 written write VERB iajs-2007 34 18 as as ADP iajs-2007 34 19 : : PUNCT iajs-2007 34 20 𝐿 𝐿 PROPN iajs-2007 34 21 π‘π‘Ÿ π‘π‘Ÿ PROPN iajs-2007 34 22 𝑦 𝑦 NOUN iajs-2007 34 23 4 4 NUM iajs-2007 34 24 since since SCONJ iajs-2007 34 25 π‘π‘Ÿ π‘π‘Ÿ PROPN iajs-2007 34 26 𝑦 𝑦 NOUN iajs-2007 34 27 1 1 NUM iajs-2007 34 28 πœ‹ πœ‹ NOUN iajs-2007 34 29 π‘Žπ‘›π‘‘ π‘Žπ‘›π‘‘ ADJ iajs-2007 35 1 π‘π‘Ÿ π‘π‘Ÿ PROPN iajs-2007 35 2 𝑦 𝑦 NOUN iajs-2007 35 3 0 0 NUM iajs-2007 35 4 1 1 NUM iajs-2007 35 5 πœ‹ πœ‹ NOUN iajs-2007 35 6 thus𝑓 thus𝑓 NOUN iajs-2007 35 7 𝑦 𝑦 NOUN iajs-2007 35 8 πœ‹ πœ‹ NOUN iajs-2007 35 9 1 1 NUM iajs-2007 35 10 πœ‹ πœ‹ NOUN iajs-2007 35 11 , , PUNCT iajs-2007 35 12 𝑦 𝑦 NOUN iajs-2007 35 13 0,1 0,1 NUM iajs-2007 35 14 , , PUNCT iajs-2007 35 15 … … PUNCT iajs-2007 35 16 … … PUNCT iajs-2007 35 17 . . PUNCT iajs-2007 36 1 𝑛 𝑛 PRON iajs-2007 36 2 5 5 NUM iajs-2007 36 3 𝐿 𝐿 NOUN iajs-2007 36 4 πœ‹ πœ‹ NOUN iajs-2007 36 5 1 1 NUM iajs-2007 36 6 πœ‹ πœ‹ NOUN iajs-2007 36 7 πœ‹ πœ‹ NOUN iajs-2007 36 8 1 1 NUM iajs-2007 36 9 πœ‹ πœ‹ NOUN iajs-2007 36 10 1 1 NUM iajs-2007 36 11 πœ‹ πœ‹ NOUN iajs-2007 36 12 then then ADV iajs-2007 36 13 we we PRON iajs-2007 36 14 take take VERB iajs-2007 36 15 the the DET iajs-2007 36 16 natural natural ADJ iajs-2007 36 17 logarithm logarithm NOUN iajs-2007 36 18 of of ADP iajs-2007 36 19 both both DET iajs-2007 36 20 sides side NOUN iajs-2007 36 21 to to PART iajs-2007 36 22 get get VERB iajs-2007 36 23 : : PUNCT iajs-2007 36 24 𝑙𝑛𝐿 𝑙𝑛𝐿 X iajs-2007 36 25 𝑦 𝑦 NOUN iajs-2007 36 26 𝑙𝑛 𝑙𝑛 NOUN iajs-2007 36 27 πœ‹ πœ‹ ADP iajs-2007 36 28 1 1 NUM iajs-2007 36 29 πœ‹ πœ‹ NOUN iajs-2007 36 30 ln ln NOUN iajs-2007 36 31 1 1 NUM iajs-2007 36 32 πœ‹ πœ‹ NOUN iajs-2007 36 33 6 6 NUM iajs-2007 36 34 mathematics mathematic NOUN iajs-2007 36 35 | | ADV iajs-2007 36 36 145 145 NUM iajs-2007 36 37 ibn ibn PROPN iajs-2007 36 38 al al PROPN iajs-2007 36 39 - - PUNCT iajs-2007 36 40 haitham haitham PROPN iajs-2007 36 41 jour jour X iajs-2007 36 42 . . PROPN iajs-2007 37 1 for for ADP iajs-2007 37 2 pure pure ADJ iajs-2007 37 3 & & CCONJ iajs-2007 37 4 appl appl PROPN iajs-2007 37 5 . . PUNCT iajs-2007 38 1 sci sci PROPN iajs-2007 38 2 . . PROPN iajs-2007 38 3 ihjpas ihjpas PROPN iajs-2007 38 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 38 5 vol vol NOUN iajs-2007 38 6 . . PUNCT iajs-2007 39 1 31 31 NUM iajs-2007 40 1 ( ( PUNCT iajs-2007 40 2 3 3 NUM iajs-2007 40 3 ) ) PUNCT iajs-2007 40 4 2018 2018 NUM iajs-2007 41 1 = = SYM iajs-2007 41 2 βˆ‘ βˆ‘ PART iajs-2007 41 3 𝛽 𝛽 NOUN iajs-2007 41 4 π‘₯ π‘₯ DET iajs-2007 41 5 𝑦 𝑦 NOUN iajs-2007 41 6 βˆ‘ βˆ‘ PROPN iajs-2007 41 7 ln ln PROPN iajs-2007 41 8 1 1 NUM iajs-2007 41 9 𝑒 𝑒 SYM iajs-2007 41 10 7 7 NUM iajs-2007 41 11 taking take VERB iajs-2007 41 12 the the DET iajs-2007 41 13 derivative derivative NOUN iajs-2007 41 14 of of ADP iajs-2007 41 15 𝑙𝑛𝐿 𝑙𝑛𝐿 NOUN iajs-2007 41 16 with with ADP iajs-2007 41 17 respect respect NOUN iajs-2007 41 18 to to ADP iajs-2007 41 19 𝛽 𝛽 NOUN iajs-2007 41 20 and and CCONJ iajs-2007 41 21 setting set VERB iajs-2007 41 22 it it PRON iajs-2007 41 23 equal equal ADJ iajs-2007 41 24 to to ADP iajs-2007 41 25 zero zero NUM iajs-2007 41 26 we we PRON iajs-2007 41 27 get get VERB iajs-2007 41 28 : : PUNCT iajs-2007 41 29 πœ•π‘™π‘›πΏ πœ•π‘™π‘›πΏ PROPN iajs-2007 41 30 πœ•π›½ πœ•π›½ VERB iajs-2007 41 31 π‘₯ π‘₯ PROPN iajs-2007 41 32 𝑦 𝑦 NOUN iajs-2007 41 33 π‘₯ π‘₯ INTJ iajs-2007 41 34 1 1 NUM iajs-2007 41 35 𝑒 𝑒 PROPN iajs-2007 41 36 π‘₯ π‘₯ X iajs-2007 41 37 𝑦 𝑦 X iajs-2007 41 38 π‘₯ π‘₯ X iajs-2007 41 39 𝑦 𝑦 NOUN iajs-2007 41 40 0 0 NUM iajs-2007 41 41 8 8 NUM iajs-2007 41 42 where where SCONJ iajs-2007 41 43 𝑦 𝑦 NOUN iajs-2007 41 44 is be AUX iajs-2007 41 45 the the DET iajs-2007 41 46 predicted predict VERB iajs-2007 41 47 probability probability NOUN iajs-2007 41 48 of of ADP iajs-2007 41 49 y y PROPN iajs-2007 41 50 for for ADP iajs-2007 41 51 a a DET iajs-2007 41 52 given give VERB iajs-2007 41 53 value value NOUN iajs-2007 41 54 of of ADP iajs-2007 41 55 π‘₯ π‘₯ PROPN iajs-2007 41 56 . . PUNCT iajs-2007 42 1 actually actually ADV iajs-2007 42 2 , , PUNCT iajs-2007 42 3 ( ( PUNCT iajs-2007 42 4 8) 8) NUM iajs-2007 42 5 is be AUX iajs-2007 42 6 a a DET iajs-2007 42 7 system system NOUN iajs-2007 42 8 of of ADP iajs-2007 42 9 ( ( PUNCT iajs-2007 42 10 k+1 k+1 NOUN iajs-2007 42 11 ) ) PUNCT iajs-2007 42 12 equations equation NOUN iajs-2007 42 13 one one NUM iajs-2007 42 14 for for ADP iajs-2007 42 15 each each DET iajs-2007 42 16 element element NOUN iajs-2007 42 17 of of ADP iajs-2007 42 18 𝛽. 𝛽. NOUN iajs-2007 42 19 there there PRON iajs-2007 42 20 is be VERB iajs-2007 42 21 no no DET iajs-2007 42 22 explicit explicit ADJ iajs-2007 42 23 solution solution NOUN iajs-2007 42 24 to to ADP iajs-2007 42 25 ( ( PUNCT iajs-2007 42 26 8) 8) NUM iajs-2007 42 27 , , PUNCT iajs-2007 42 28 instead instead ADV iajs-2007 42 29 , , PUNCT iajs-2007 42 30 we we PRON iajs-2007 42 31 must must AUX iajs-2007 42 32 utilize utilize VERB iajs-2007 42 33 iterative iterative NOUN iajs-2007 42 34 methods method NOUN iajs-2007 42 35 which which PRON iajs-2007 42 36 yield yield VERB iajs-2007 42 37 successive successive ADJ iajs-2007 42 38 approximations approximation NOUN iajs-2007 42 39 to to ADP iajs-2007 42 40 the the DET iajs-2007 42 41 solution solution NOUN iajs-2007 42 42 until until SCONJ iajs-2007 42 43 the the DET iajs-2007 42 44 approximations approximation NOUN iajs-2007 42 45 converge converge VERB iajs-2007 42 46 to to ADP iajs-2007 42 47 the the DET iajs-2007 42 48 correct correct ADJ iajs-2007 42 49 value value NOUN iajs-2007 42 50 . . PUNCT iajs-2007 43 1 one one NUM iajs-2007 43 2 of of ADP iajs-2007 43 3 the the DET iajs-2007 43 4 most most ADV iajs-2007 43 5 common common ADJ iajs-2007 43 6 iterative iterative NOUN iajs-2007 43 7 methods method NOUN iajs-2007 43 8 is be AUX iajs-2007 43 9 referred refer VERB iajs-2007 43 10 to to ADP iajs-2007 43 11 as as ADP iajs-2007 43 12 newton newton PROPN iajs-2007 43 13 raphson raphson PROPN iajs-2007 43 14 method method NOUN iajs-2007 43 15 which which PRON iajs-2007 43 16 can can AUX iajs-2007 43 17 be be AUX iajs-2007 43 18 explained explain VERB iajs-2007 43 19 as as SCONJ iajs-2007 43 20 follows follow VERB iajs-2007 43 21 [ [ X iajs-2007 43 22 3 3 NUM iajs-2007 43 23 ] ] PUNCT iajs-2007 43 24 : : PUNCT iajs-2007 43 25 let let VERB iajs-2007 43 26 u(𝛽 u(𝛽 PROPN iajs-2007 43 27 be be AUX iajs-2007 43 28 the the DET iajs-2007 43 29 vector vector NOUN iajs-2007 43 30 of of ADP iajs-2007 43 31 the the DET iajs-2007 43 32 first first ADJ iajs-2007 43 33 derivative derivative NOUN iajs-2007 43 34 of of ADP iajs-2007 43 35 lnl lnl PROPN iajs-2007 43 36 with with ADP iajs-2007 43 37 respect respect NOUN iajs-2007 43 38 to to ADP iajs-2007 43 39 𝛽.that 𝛽.that PRON iajs-2007 43 40 is be AUX iajs-2007 43 41 : : PUNCT iajs-2007 43 42 𝑒 𝑒 PROPN iajs-2007 43 43 𝛽 𝛽 PROPN iajs-2007 43 44 πœ•π‘™π‘›πΏ πœ•π‘™π‘›πΏ NUM iajs-2007 43 45 πœ•π›½ πœ•π›½ VERB iajs-2007 43 46 π‘₯ π‘₯ PROPN iajs-2007 43 47 𝑦 𝑦 SYM iajs-2007 43 48 π‘₯ π‘₯ X iajs-2007 43 49 𝑦 𝑦 NOUN iajs-2007 43 50 let let VERB iajs-2007 43 51 i(𝛽 i(𝛽 ADV iajs-2007 43 52 be be AUX iajs-2007 43 53 the the DET iajs-2007 43 54 matrix matrix NOUN iajs-2007 43 55 of of ADP iajs-2007 43 56 second second ADJ iajs-2007 43 57 derivative derivative NOUN iajs-2007 43 58 , , PUNCT iajs-2007 43 59 of of ADP iajs-2007 43 60 lnl lnl PROPN iajs-2007 43 61 with with ADP iajs-2007 43 62 respect respect NOUN iajs-2007 43 63 to to ADP iajs-2007 43 64 𝛽 𝛽 NOUN iajs-2007 43 65 𝐼 𝐼 PROPN iajs-2007 43 66 𝛽 𝛽 PROPN iajs-2007 43 67 πœ• πœ• NOUN iajs-2007 44 1 𝑙𝑛𝐿 𝑙𝑛𝐿 NOUN iajs-2007 45 1 πœ•π›½πœ•π›½ πœ•π›½πœ•π›½ ADP iajs-2007 45 2 π‘₯ π‘₯ PRON iajs-2007 46 1 π‘₯ π‘₯ PUNCT iajs-2007 46 2 𝑦 𝑦 PRON iajs-2007 46 3 𝑦 𝑦 NOUN iajs-2007 46 4 the the DET iajs-2007 46 5 newton newton PROPN iajs-2007 46 6 raphson raphson PROPN iajs-2007 46 7 algorithm algorithm PROPN iajs-2007 46 8 is be AUX iajs-2007 46 9 then then ADV iajs-2007 46 10 𝛽 𝛽 NOUN iajs-2007 46 11 𝛽 𝛽 PROPN iajs-2007 46 12 𝐼 𝐼 PROPN iajs-2007 46 13 𝛽 𝛽 PROPN iajs-2007 46 14 𝑒 𝑒 PRON iajs-2007 46 15 𝛽 𝛽 NOUN iajs-2007 46 16 9 9 NUM iajs-2007 46 17 practically practically ADV iajs-2007 46 18 , , PUNCT iajs-2007 46 19 we we PRON iajs-2007 46 20 need need VERB iajs-2007 46 21 a a DET iajs-2007 46 22 set set NOUN iajs-2007 46 23 of of ADP iajs-2007 46 24 initial initial ADJ iajs-2007 46 25 values𝛽 values𝛽 NOUN iajs-2007 46 26 , , PUNCT iajs-2007 46 27 which which PRON iajs-2007 46 28 can can AUX iajs-2007 46 29 be be AUX iajs-2007 46 30 started start VERB iajs-2007 46 31 with with ADP iajs-2007 46 32 all all DET iajs-2007 46 33 coefficients coefficient NOUN iajs-2007 46 34 equal equal ADJ iajs-2007 46 35 to to ADP iajs-2007 46 36 zero zero NUM iajs-2007 46 37 . . PUNCT iajs-2007 47 1 these these DET iajs-2007 47 2 initial initial ADJ iajs-2007 47 3 values value NOUN iajs-2007 47 4 are be AUX iajs-2007 47 5 substituted substitute VERB iajs-2007 47 6 into into ADP iajs-2007 47 7 the the DET iajs-2007 47 8 right right ADJ iajs-2007 47 9 hand hand NOUN iajs-2007 47 10 side side NOUN iajs-2007 47 11 of of ADP iajs-2007 47 12 equation equation NOUN iajs-2007 47 13 ( ( PUNCT iajs-2007 47 14 9 9 NUM iajs-2007 47 15 ) ) PUNCT iajs-2007 47 16 which which PRON iajs-2007 47 17 give give VERB iajs-2007 47 18 the the DET iajs-2007 47 19 result result NOUN iajs-2007 47 20 for for ADP iajs-2007 47 21 the the DET iajs-2007 47 22 first first ADJ iajs-2007 47 23 iteration iteration NOUN iajs-2007 47 24 𝛽 𝛽 NOUN iajs-2007 47 25 , , PUNCT iajs-2007 47 26 again again ADV iajs-2007 47 27 these these DET iajs-2007 47 28 values value NOUN iajs-2007 47 29 are be AUX iajs-2007 47 30 substituted substitute VERB iajs-2007 47 31 back back ADV iajs-2007 47 32 into into ADP iajs-2007 47 33 the the DET iajs-2007 47 34 right right ADJ iajs-2007 47 35 hand hand NOUN iajs-2007 47 36 side side NOUN iajs-2007 47 37 of of ADP iajs-2007 47 38 equation equation NOUN iajs-2007 47 39 ( ( PUNCT iajs-2007 47 40 9 9 NUM iajs-2007 47 41 ) ) PUNCT iajs-2007 47 42 where where SCONJ iajs-2007 47 43 the the DET iajs-2007 47 44 first first ADJ iajs-2007 47 45 and and CCONJ iajs-2007 47 46 second second ADJ iajs-2007 47 47 derivatives derivative NOUN iajs-2007 47 48 are be AUX iajs-2007 47 49 recomputed recompute VERB iajs-2007 47 50 and and CCONJ iajs-2007 47 51 the the DET iajs-2007 47 52 result result NOUN iajs-2007 47 53 is𝛽 is𝛽 VERB iajs-2007 47 54 .this .this DET iajs-2007 47 55 process process NOUN iajs-2007 47 56 is be AUX iajs-2007 47 57 repeated repeat VERB iajs-2007 47 58 until until SCONJ iajs-2007 47 59 the the DET iajs-2007 47 60 maximum maximum ADJ iajs-2007 47 61 change change NOUN iajs-2007 47 62 in in ADP iajs-2007 47 63 each each DET iajs-2007 47 64 parameter parameter NOUN iajs-2007 47 65 estimate estimate NOUN iajs-2007 47 66 from from ADP iajs-2007 47 67 one one NUM iajs-2007 47 68 step step NOUN iajs-2007 47 69 to to ADP iajs-2007 47 70 the the DET iajs-2007 47 71 next next ADJ iajs-2007 47 72 is be AUX iajs-2007 47 73 less less ADJ iajs-2007 47 74 than than ADP iajs-2007 47 75 the the DET iajs-2007 47 76 value value NOUN iajs-2007 47 77 specified specify VERB iajs-2007 47 78 for for ADP iajs-2007 47 79 tolerance tolerance NOUN iajs-2007 47 80 on on ADP iajs-2007 47 81 the the DET iajs-2007 47 82 logistic logistic ADJ iajs-2007 47 83 regression regression NOUN iajs-2007 47 84 modeling modeling NOUN iajs-2007 47 85 . . PUNCT iajs-2007 48 1 6 6 X iajs-2007 48 2 . . X iajs-2007 48 3 statistical statistical ADJ iajs-2007 48 4 hypotheses hypothesis NOUN iajs-2007 48 5 and and CCONJ iajs-2007 48 6 model model NOUN iajs-2007 48 7 fitting fit VERB iajs-2007 48 8 in in ADP iajs-2007 48 9 analyzing analyze VERB iajs-2007 48 10 logistic logistic ADJ iajs-2007 48 11 regression regression NOUN iajs-2007 48 12 two two NUM iajs-2007 48 13 hypotheses hypothesis NOUN iajs-2007 48 14 are be AUX iajs-2007 48 15 of of ADP iajs-2007 48 16 interest interest NOUN iajs-2007 48 17 specifically specifically ADV iajs-2007 48 18 : : PUNCT iajs-2007 48 19 1 1 NUM iajs-2007 48 20 - - PUNCT iajs-2007 48 21 null null NOUN iajs-2007 48 22 hypothesis hypothesis NOUN iajs-2007 48 23 which which PRON iajs-2007 48 24 arises arise VERB iajs-2007 48 25 when when SCONJ iajs-2007 48 26 all all DET iajs-2007 48 27 logistic logistic ADJ iajs-2007 48 28 regression regression NOUN iajs-2007 48 29 coefficients coefficient NOUN iajs-2007 48 30 are be AUX iajs-2007 48 31 equal equal ADJ iajs-2007 48 32 to to ADP iajs-2007 48 33 zero zero NUM iajs-2007 48 34 i.e. i.e. X iajs-2007 48 35 there there PRON iajs-2007 48 36 is be VERB iajs-2007 48 37 no no DET iajs-2007 48 38 relationship relationship NOUN iajs-2007 48 39 between between ADP iajs-2007 48 40 the the DET iajs-2007 48 41 binary binary ADJ iajs-2007 48 42 response response NOUN iajs-2007 48 43 variable variable NOUN iajs-2007 48 44 and and CCONJ iajs-2007 48 45 the the DET iajs-2007 48 46 predictor predictor NOUN iajs-2007 48 47 variables variable VERB iajs-2007 48 48 . . PUNCT iajs-2007 49 1 2alternative 2alternative NUM iajs-2007 49 2 hypothesis hypothesis NOUN iajs-2007 49 3 which which PRON iajs-2007 49 4 arises arise VERB iajs-2007 49 5 when when SCONJ iajs-2007 49 6 the the DET iajs-2007 49 7 logistic logistic ADJ iajs-2007 49 8 regression regression NOUN iajs-2007 49 9 coefficients coefficient NOUN iajs-2007 49 10 differ differ VERB iajs-2007 49 11 significantly significantly ADV iajs-2007 49 12 from from ADP iajs-2007 49 13 zero zero NUM iajs-2007 49 14 . . PUNCT iajs-2007 50 1 i.e. i.e. X iajs-2007 50 2 there there PRON iajs-2007 50 3 exists exist VERB iajs-2007 50 4 a a DET iajs-2007 50 5 significant significant ADJ iajs-2007 50 6 effect effect NOUN iajs-2007 50 7 of of ADP iajs-2007 50 8 predictors predictor NOUN iajs-2007 50 9 on on ADP iajs-2007 50 10 the the DET iajs-2007 50 11 binary binary ADJ iajs-2007 50 12 response response NOUN iajs-2007 50 13 variable variable NOUN iajs-2007 50 14 . . PUNCT iajs-2007 51 1 there there PRON iajs-2007 51 2 are be VERB iajs-2007 51 3 two two NUM iajs-2007 51 4 popular popular ADJ iajs-2007 51 5 approaches approach NOUN iajs-2007 51 6 for for ADP iajs-2007 51 7 testing test VERB iajs-2007 51 8 the the DET iajs-2007 51 9 null null ADJ iajs-2007 51 10 hypothesis hypothesis NOUN iajs-2007 51 11 . . PUNCT iajs-2007 52 1 the the DET iajs-2007 52 2 first first ADJ iajs-2007 52 3 is be AUX iajs-2007 52 4 performed perform VERB iajs-2007 52 5 by by ADP iajs-2007 52 6 calculating calculate VERB iajs-2007 52 7 the the DET iajs-2007 52 8 wald wald PROPN iajs-2007 52 9 statistic statistic NOUN iajs-2007 52 10 , , PUNCT iajs-2007 52 11 which which PRON iajs-2007 52 12 is be AUX iajs-2007 52 13 similar similar ADJ iajs-2007 52 14 to to ADP iajs-2007 52 15 t t NOUN iajs-2007 52 16 test test NOUN iajs-2007 52 17 in in ADP iajs-2007 52 18 multiple multiple ADJ iajs-2007 52 19 linear linear ADJ iajs-2007 52 20 regression regression NOUN iajs-2007 52 21 . . PUNCT iajs-2007 53 1 this this DET iajs-2007 53 2 statistic statistic NOUN iajs-2007 53 3 is be AUX iajs-2007 53 4 the the DET iajs-2007 53 5 division division NOUN iajs-2007 53 6 of of ADP iajs-2007 53 7 the the DET iajs-2007 53 8 parameter parameter NOUN iajs-2007 53 9 estimate estimate NOUN iajs-2007 53 10 by by ADP iajs-2007 53 11 the the DET iajs-2007 53 12 standard standard ADJ iajs-2007 53 13 error error NOUN iajs-2007 53 14 of of ADP iajs-2007 53 15 that that DET iajs-2007 53 16 estimate estimate NOUN iajs-2007 53 17 . . PUNCT iajs-2007 54 1 for for SCONJ iajs-2007 54 2 the the DET iajs-2007 54 3 large large ADJ iajs-2007 54 4 sample sample NOUN iajs-2007 54 5 sizes size VERB iajs-2007 54 6 the the DET iajs-2007 54 7 distribution distribution NOUN iajs-2007 54 8 of of ADP iajs-2007 54 9 𝛽 𝛽 NOUN iajs-2007 54 10 approaches approach NOUN iajs-2007 54 11 to to ADP iajs-2007 54 12 normality normality NOUN iajs-2007 54 13 this this PRON iajs-2007 54 14 implies imply VERB iajs-2007 54 15 that that SCONJ iajs-2007 54 16 the the DET iajs-2007 54 17 standard standard ADJ iajs-2007 54 18 errors𝑠 errors𝑠 NOUN iajs-2007 54 19 are be AUX iajs-2007 54 20 asymptotic asymptotic ADJ iajs-2007 54 21 , , PUNCT iajs-2007 54 22 accordingly accordingly ADV iajs-2007 54 23 , , PUNCT iajs-2007 54 24 the the DET iajs-2007 54 25 standard standard ADJ iajs-2007 54 26 error error NOUN iajs-2007 54 27 should should AUX iajs-2007 54 28 be be AUX iajs-2007 54 29 mathematics mathematics NOUN iajs-2007 55 1 | | ADV iajs-2007 55 2 146 146 NUM iajs-2007 55 3 ibn ibn PROPN iajs-2007 55 4 al al PROPN iajs-2007 55 5 - - PUNCT iajs-2007 55 6 haitham haitham PROPN iajs-2007 55 7 jour jour X iajs-2007 55 8 . . PROPN iajs-2007 56 1 for for ADP iajs-2007 56 2 pure pure ADJ iajs-2007 56 3 & & CCONJ iajs-2007 56 4 appl appl PROPN iajs-2007 56 5 . . PUNCT iajs-2007 57 1 sci sci PROPN iajs-2007 57 2 . . PROPN iajs-2007 57 3 ihjpas ihjpas PROPN iajs-2007 57 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 57 5 vol vol NOUN iajs-2007 57 6 . . PUNCT iajs-2007 58 1 31 31 NUM iajs-2007 59 1 ( ( PUNCT iajs-2007 59 2 3 3 NUM iajs-2007 59 3 ) ) PUNCT iajs-2007 59 4 2018 2018 NUM iajs-2007 59 5 regarded regard VERB iajs-2007 59 6 approximate approximate NOUN iajs-2007 59 7 for for ADP iajs-2007 59 8 small small ADJ iajs-2007 59 9 sample sample NOUN iajs-2007 59 10 sizes size NOUN iajs-2007 59 11 .. .. PUNCT iajs-2007 59 12 the the DET iajs-2007 59 13 wald wald PROPN iajs-2007 59 14 statistic statistic NOUN iajs-2007 59 15 is be AUX iajs-2007 59 16 more more ADV iajs-2007 59 17 reliable reliable ADJ iajs-2007 59 18 for for ADP iajs-2007 59 19 large large ADJ iajs-2007 59 20 sample sample NOUN iajs-2007 59 21 sizes size NOUN iajs-2007 59 22 . . PUNCT iajs-2007 60 1 7 7 X iajs-2007 60 2 . . X iajs-2007 60 3 hosmer hosmer NOUN iajs-2007 60 4 and and CCONJ iajs-2007 60 5 lemeshow lemeshow PROPN iajs-2007 60 6 ( ( PUNCT iajs-2007 60 7 h h NOUN iajs-2007 60 8 – – PUNCT iajs-2007 60 9 l l NOUN iajs-2007 60 10 ) ) PUNCT iajs-2007 60 11 goodness goodness NOUN iajs-2007 60 12 of of ADP iajs-2007 60 13 fit fit ADJ iajs-2007 60 14 test test NOUN iajs-2007 60 15 a a DET iajs-2007 60 16 popular popular ADJ iajs-2007 60 17 test test NOUN iajs-2007 60 18 for for ADP iajs-2007 60 19 the the DET iajs-2007 60 20 goodness goodness NOUN iajs-2007 60 21 of of ADP iajs-2007 60 22 fit fit NOUN iajs-2007 60 23 of of ADP iajs-2007 60 24 the the DET iajs-2007 60 25 logistic logistic ADJ iajs-2007 60 26 regression regression NOUN iajs-2007 60 27 model model NOUN iajs-2007 60 28 depending depend VERB iajs-2007 60 29 upon upon SCONJ iajs-2007 60 30 the the DET iajs-2007 60 31 chi chi PROPN iajs-2007 60 32 square square PROPN iajs-2007 60 33 statistic statistic NOUN iajs-2007 60 34 is be AUX iajs-2007 60 35 known know VERB iajs-2007 60 36 as as ADP iajs-2007 60 37 hosmer hosmer NOUN iajs-2007 60 38 and and CCONJ iajs-2007 60 39 lemeshow lemeshow ADJ iajs-2007 60 40 test test NOUN iajs-2007 60 41 [ [ X iajs-2007 60 42 4 4 NUM iajs-2007 60 43 ] ] PUNCT iajs-2007 60 44 . . PUNCT iajs-2007 61 1 according accord VERB iajs-2007 61 2 to to ADP iajs-2007 61 3 this this DET iajs-2007 61 4 test test NOUN iajs-2007 61 5 , , PUNCT iajs-2007 61 6 the the DET iajs-2007 61 7 whole whole ADJ iajs-2007 61 8 subject subject NOUN iajs-2007 61 9 have have AUX iajs-2007 61 10 been be AUX iajs-2007 61 11 divided divide VERB iajs-2007 61 12 into into ADP iajs-2007 61 13 ten ten NUM iajs-2007 61 14 ordered order VERB iajs-2007 61 15 groups group NOUN iajs-2007 61 16 which which PRON iajs-2007 61 17 are be AUX iajs-2007 61 18 constructed construct VERB iajs-2007 61 19 on on ADP iajs-2007 61 20 the the DET iajs-2007 61 21 basis basis NOUN iajs-2007 61 22 of of ADP iajs-2007 61 23 their their PRON iajs-2007 61 24 estimated estimate VERB iajs-2007 61 25 probability probability NOUN iajs-2007 61 26 , , PUNCT iajs-2007 61 27 those those PRON iajs-2007 61 28 with with ADP iajs-2007 61 29 estimated estimate VERB iajs-2007 61 30 probability probability NOUN iajs-2007 61 31 between between ADP iajs-2007 61 32 0 0 NUM iajs-2007 61 33 and and CCONJ iajs-2007 61 34 0.1 0.1 NUM iajs-2007 61 35 form form NOUN iajs-2007 61 36 one one NUM iajs-2007 61 37 group group NOUN iajs-2007 61 38 , , PUNCT iajs-2007 61 39 and and CCONJ iajs-2007 61 40 so so ADV iajs-2007 61 41 on on ADV iajs-2007 61 42 , , PUNCT iajs-2007 61 43 up up ADP iajs-2007 61 44 to to ADP iajs-2007 61 45 those those PRON iajs-2007 61 46 with with ADP iajs-2007 61 47 probability probability NOUN iajs-2007 61 48 between between ADP iajs-2007 61 49 0.9 0.9 NUM iajs-2007 61 50 to to PART iajs-2007 61 51 1 1 NUM iajs-2007 61 52 .the .the DET iajs-2007 61 53 test test NOUN iajs-2007 61 54 statistic statistic NOUN iajs-2007 61 55 here here ADV iajs-2007 61 56 is be AUX iajs-2007 61 57 based base VERB iajs-2007 61 58 on on ADP iajs-2007 61 59 two two NUM iajs-2007 61 60 components component NOUN iajs-2007 61 61 , , PUNCT iajs-2007 61 62 namely namely ADV iajs-2007 61 63 , , PUNCT iajs-2007 61 64 the the DET iajs-2007 61 65 observed observe VERB iajs-2007 61 66 component component NOUN iajs-2007 61 67 which which PRON iajs-2007 61 68 does do AUX iajs-2007 61 69 not not PART iajs-2007 61 70 depend depend VERB iajs-2007 61 71 on on ADP iajs-2007 61 72 any any DET iajs-2007 61 73 theoretical theoretical ADJ iajs-2007 61 74 distribution distribution NOUN iajs-2007 61 75 and and CCONJ iajs-2007 61 76 expected expect VERB iajs-2007 61 77 component component NOUN iajs-2007 61 78 obtained obtain VERB iajs-2007 61 79 from from ADP iajs-2007 61 80 the the DET iajs-2007 61 81 estimated estimate VERB iajs-2007 61 82 logistic logistic ADJ iajs-2007 61 83 model model NOUN iajs-2007 61 84 .a .a PROPN iajs-2007 61 85 probability probability NOUN iajs-2007 61 86 p p NOUN iajs-2007 61 87 value value NOUN iajs-2007 61 88 is be AUX iajs-2007 61 89 computed compute VERB iajs-2007 61 90 from from ADP iajs-2007 61 91 the the DET iajs-2007 61 92 chi chi ADJ iajs-2007 61 93 square square ADJ iajs-2007 61 94 distribution distribution NOUN iajs-2007 61 95 with with ADP iajs-2007 61 96 8 8 NUM iajs-2007 61 97 degrees degree NOUN iajs-2007 61 98 of of ADP iajs-2007 61 99 freedom freedom NOUN iajs-2007 61 100 to to PART iajs-2007 61 101 test test VERB iajs-2007 61 102 the the DET iajs-2007 61 103 fit fit NOUN iajs-2007 61 104 of of ADP iajs-2007 61 105 the the DET iajs-2007 61 106 logistic logistic ADJ iajs-2007 61 107 model model NOUN iajs-2007 61 108 .we .we PUNCT iajs-2007 62 1 accept accept VERB iajs-2007 62 2 the the DET iajs-2007 62 3 null null ADJ iajs-2007 62 4 hypothesis hypothesis NOUN iajs-2007 62 5 if if SCONJ iajs-2007 62 6 the the DET iajs-2007 62 7 h h NOUN iajs-2007 62 8 - - PUNCT iajs-2007 62 9 l l NOUN iajs-2007 62 10 test test NOUN iajs-2007 62 11 statistic statistic NOUN iajs-2007 62 12 is be AUX iajs-2007 62 13 greater great ADJ iajs-2007 62 14 than than ADP iajs-2007 62 15 0.05 0.05 NUM iajs-2007 62 16 .this .this PRON iajs-2007 62 17 means mean VERB iajs-2007 62 18 that that SCONJ iajs-2007 62 19 there there PRON iajs-2007 62 20 is be VERB iajs-2007 62 21 no no DET iajs-2007 62 22 difference difference NOUN iajs-2007 62 23 between between ADP iajs-2007 62 24 the the DET iajs-2007 62 25 observed observe VERB iajs-2007 62 26 and and CCONJ iajs-2007 62 27 model model NOUN iajs-2007 62 28 predicted predict VERB iajs-2007 62 29 values value NOUN iajs-2007 62 30 which which PRON iajs-2007 62 31 implies imply VERB iajs-2007 62 32 that that SCONJ iajs-2007 62 33 the the DET iajs-2007 62 34 model model NOUN iajs-2007 62 35 's 's PART iajs-2007 62 36 estimate estimate NOUN iajs-2007 62 37 fit fit VERB iajs-2007 62 38 the the DET iajs-2007 62 39 data datum NOUN iajs-2007 62 40 at at ADP iajs-2007 62 41 an an DET iajs-2007 62 42 acceptable acceptable ADJ iajs-2007 62 43 level level NOUN iajs-2007 62 44 . . PUNCT iajs-2007 63 1 8 8 X iajs-2007 63 2 . . X iajs-2007 63 3 omnibus omnibus NOUN iajs-2007 63 4 test test NOUN iajs-2007 63 5 of of ADP iajs-2007 63 6 model model NOUN iajs-2007 63 7 coefficients coefficient NOUN iajs-2007 63 8 this this DET iajs-2007 63 9 test test NOUN iajs-2007 63 10 is be AUX iajs-2007 63 11 applied apply VERB iajs-2007 63 12 to to PART iajs-2007 63 13 determine determine VERB iajs-2007 63 14 whether whether SCONJ iajs-2007 63 15 the the DET iajs-2007 63 16 overall overall ADJ iajs-2007 63 17 model model NOUN iajs-2007 63 18 with with ADP iajs-2007 63 19 all all DET iajs-2007 63 20 predictors predictor NOUN iajs-2007 63 21 is be AUX iajs-2007 63 22 significantly significantly ADV iajs-2007 63 23 different different ADJ iajs-2007 63 24 from from ADP iajs-2007 63 25 the the DET iajs-2007 63 26 model model NOUN iajs-2007 63 27 with with ADP iajs-2007 63 28 only only ADV iajs-2007 63 29 the the DET iajs-2007 63 30 intercept intercept NOUN iajs-2007 63 31 . . PUNCT iajs-2007 64 1 the the DET iajs-2007 64 2 omnibus omnibus NOUN iajs-2007 64 3 test test NOUN iajs-2007 64 4 is be AUX iajs-2007 64 5 interpreted interpret VERB iajs-2007 64 6 as as ADP iajs-2007 64 7 a a DET iajs-2007 64 8 test test NOUN iajs-2007 64 9 of of ADP iajs-2007 64 10 the the DET iajs-2007 64 11 capability capability NOUN iajs-2007 64 12 of of ADP iajs-2007 64 13 all all DET iajs-2007 64 14 predictors predictor NOUN iajs-2007 64 15 in in ADP iajs-2007 64 16 the the DET iajs-2007 64 17 model model NOUN iajs-2007 64 18 jointly jointly ADV iajs-2007 64 19 to to PART iajs-2007 64 20 predict predict VERB iajs-2007 64 21 the the DET iajs-2007 64 22 response response NOUN iajs-2007 64 23 variable variable NOUN iajs-2007 64 24 . . PUNCT iajs-2007 65 1 the the DET iajs-2007 65 2 test test NOUN iajs-2007 65 3 is be AUX iajs-2007 65 4 based base VERB iajs-2007 65 5 on on ADP iajs-2007 65 6 the the DET iajs-2007 65 7 difference difference NOUN iajs-2007 65 8 between between ADP iajs-2007 65 9 the the DET iajs-2007 65 10 log log NOUN iajs-2007 65 11 likelihood likelihood NOUN iajs-2007 65 12 for for ADP iajs-2007 65 13 the the DET iajs-2007 65 14 overall overall ADJ iajs-2007 65 15 model model NOUN iajs-2007 65 16 and and CCONJ iajs-2007 65 17 log log NOUN iajs-2007 65 18 likelihood likelihood NOUN iajs-2007 65 19 of of ADP iajs-2007 65 20 the the DET iajs-2007 65 21 model model NOUN iajs-2007 65 22 with with ADP iajs-2007 65 23 only only ADV iajs-2007 65 24 the the DET iajs-2007 65 25 constant constant ADJ iajs-2007 65 26 term term NOUN iajs-2007 65 27 , , PUNCT iajs-2007 65 28 such such ADJ iajs-2007 65 29 difference difference NOUN iajs-2007 65 30 follows follow VERB iajs-2007 65 31 chi chi PROPN iajs-2007 65 32 square square ADJ iajs-2007 65 33 distribution distribution NOUN iajs-2007 65 34 where where SCONJ iajs-2007 65 35 the the DET iajs-2007 65 36 number number NOUN iajs-2007 65 37 of of ADP iajs-2007 65 38 predictors predictor NOUN iajs-2007 65 39 represent represent VERB iajs-2007 65 40 the the DET iajs-2007 65 41 degrees degree NOUN iajs-2007 65 42 of of ADP iajs-2007 65 43 freedom freedom NOUN iajs-2007 65 44 [ [ X iajs-2007 65 45 5 5 NUM iajs-2007 65 46 ] ] PUNCT iajs-2007 65 47 . . PUNCT iajs-2007 66 1 9 9 X iajs-2007 66 2 . . X iajs-2007 66 3 the the DET iajs-2007 66 4 practical practical ADJ iajs-2007 66 5 study study NOUN iajs-2007 66 6 in in ADP iajs-2007 66 7 our our PRON iajs-2007 66 8 practical practical ADJ iajs-2007 66 9 study study NOUN iajs-2007 66 10 , , PUNCT iajs-2007 66 11 we we PRON iajs-2007 66 12 attempted attempt VERB iajs-2007 66 13 to to PART iajs-2007 66 14 assess assess VERB iajs-2007 66 15 the the DET iajs-2007 66 16 impact impact NOUN iajs-2007 66 17 of of ADP iajs-2007 66 18 some some DET iajs-2007 66 19 factors factor NOUN iajs-2007 66 20 ( ( PUNCT iajs-2007 66 21 explanatory explanatory ADJ iajs-2007 66 22 variables variable NOUN iajs-2007 66 23 ) ) PUNCT iajs-2007 66 24 that that SCONJ iajs-2007 66 25 we we PRON iajs-2007 66 26 think think VERB iajs-2007 66 27 they they PRON iajs-2007 66 28 are be AUX iajs-2007 66 29 important important ADJ iajs-2007 66 30 to to PART iajs-2007 66 31 cause cause VERB iajs-2007 66 32 the the DET iajs-2007 66 33 renal renal ADJ iajs-2007 66 34 failure failure NOUN iajs-2007 66 35 disease disease NOUN iajs-2007 66 36 by by ADP iajs-2007 66 37 employing employ VERB iajs-2007 66 38 logistic logistic ADJ iajs-2007 66 39 regression regression NOUN iajs-2007 66 40 procedures procedure NOUN iajs-2007 66 41 . . PUNCT iajs-2007 67 1 the the DET iajs-2007 67 2 real real ADJ iajs-2007 67 3 data datum NOUN iajs-2007 67 4 were be AUX iajs-2007 67 5 collected collect VERB iajs-2007 67 6 from from ADP iajs-2007 67 7 ( ( PUNCT iajs-2007 67 8 60 60 NUM iajs-2007 67 9 ) ) PUNCT iajs-2007 67 10 real real ADJ iajs-2007 67 11 patients patient NOUN iajs-2007 67 12 suffering suffer VERB iajs-2007 67 13 renal renal ADJ iajs-2007 67 14 failure failure NOUN iajs-2007 67 15 and and CCONJ iajs-2007 67 16 ( ( PUNCT iajs-2007 67 17 55 55 NUM iajs-2007 67 18 ) ) PUNCT iajs-2007 67 19 people people NOUN iajs-2007 67 20 do do AUX iajs-2007 67 21 not not PART iajs-2007 67 22 suffer suffer VERB iajs-2007 67 23 from from ADP iajs-2007 67 24 this this DET iajs-2007 67 25 disease disease NOUN iajs-2007 67 26 from from ADP iajs-2007 67 27 al al PROPN iajs-2007 67 28 kindi kindi ADJ iajs-2007 67 29 hospital hospital NOUN iajs-2007 67 30 in in ADP iajs-2007 67 31 baghdad baghdad PROPN iajs-2007 67 32 . . PUNCT iajs-2007 68 1 the the DET iajs-2007 68 2 logistic logistic ADJ iajs-2007 68 3 regression regression NOUN iajs-2007 68 4 analysis analysis NOUN iajs-2007 68 5 was be AUX iajs-2007 68 6 then then ADV iajs-2007 68 7 performed perform VERB iajs-2007 68 8 with with ADP iajs-2007 68 9 two two NUM iajs-2007 68 10 groups group NOUN iajs-2007 68 11 ( ( PUNCT iajs-2007 68 12 infected infected ADJ iajs-2007 68 13 and and CCONJ iajs-2007 68 14 uninfected uninfected ADJ iajs-2007 68 15 ) ) PUNCT iajs-2007 68 16 and and CCONJ iajs-2007 68 17 8 8 NUM iajs-2007 68 18 predictor predictor NOUN iajs-2007 68 19 variables variable NOUN iajs-2007 68 20 that that PRON iajs-2007 68 21 we we PRON iajs-2007 68 22 believe believe VERB iajs-2007 68 23 they they PRON iajs-2007 68 24 cause cause VERB iajs-2007 68 25 the the DET iajs-2007 68 26 disease disease NOUN iajs-2007 68 27 . . PUNCT iajs-2007 69 1 the the DET iajs-2007 69 2 variables variable NOUN iajs-2007 69 3 for for ADP iajs-2007 69 4 each each DET iajs-2007 69 5 group group NOUN iajs-2007 69 6 are be AUX iajs-2007 69 7 : : PUNCT iajs-2007 69 8 a. a. NOUN iajs-2007 69 9 the the DET iajs-2007 69 10 dependent dependent ADJ iajs-2007 69 11 variable variable NOUN iajs-2007 69 12 which which PRON iajs-2007 69 13 is be AUX iajs-2007 69 14 represent represent ADJ iajs-2007 69 15 [ [ X iajs-2007 69 16 1 1 NUM iajs-2007 69 17 for for ADP iajs-2007 69 18 infected infected ADJ iajs-2007 69 19 ( ( PUNCT iajs-2007 69 20 group group NOUN iajs-2007 69 21 1 1 NUM iajs-2007 69 22 ) ) PUNCT iajs-2007 69 23 ] ] PUNCT iajs-2007 69 24 and and CCONJ iajs-2007 70 1 [ [ X iajs-2007 70 2 0 0 NUM iajs-2007 70 3 for for ADP iajs-2007 70 4 uninfected uninfected ADJ iajs-2007 70 5 ( ( PUNCT iajs-2007 70 6 group group NOUN iajs-2007 70 7 2 2 NUM iajs-2007 70 8 ) ) PUNCT iajs-2007 70 9 ] ] PUNCT iajs-2007 70 10 b. b. PROPN iajs-2007 70 11 eight eight NUM iajs-2007 70 12 independent independent ADJ iajs-2007 70 13 variables variable NOUN iajs-2007 70 14 are be AUX iajs-2007 70 15 described describe VERB iajs-2007 70 16 below below ADP iajs-2007 70 17 : : PUNCT iajs-2007 70 18 1diabetes 1diabetes NUM iajs-2007 70 19 ( ( PUNCT iajs-2007 70 20 0 0 NUM iajs-2007 70 21 uninfected,1 uninfected,1 ADP iajs-2007 70 22 infected)𝑋 infected)𝑋 PROPN iajs-2007 70 23 1 1 NUM iajs-2007 70 24 . . NOUN iajs-2007 70 25 2 2 NUM iajs-2007 70 26 - - PUNCT iajs-2007 70 27 blood blood NOUN iajs-2007 70 28 pressure pressure NOUN iajs-2007 70 29 ( ( PUNCT iajs-2007 70 30 0 0 NUM iajs-2007 70 31 uninfected,1 uninfected,1 ADP iajs-2007 70 32 infected)𝑋 infected)𝑋 NOUN iajs-2007 70 33 2(glp 2(glp NOUN iajs-2007 70 34 ) ) PUNCT iajs-2007 70 35 glomerulonephritis glomerulonephritis NOUN iajs-2007 70 36 ( ( PUNCT iajs-2007 70 37 renal renal ADJ iajs-2007 70 38 syndrome syndrome NOUN iajs-2007 70 39 ) ) PUNCT iajs-2007 70 40 ( ( PUNCT iajs-2007 70 41 0 0 NUM iajs-2007 70 42 uninfected,1 uninfected,1 ADP iajs-2007 70 43 infected)𝑋 infected)𝑋 NOUN iajs-2007 70 44 3(uti 3(uti NUM iajs-2007 70 45 ) ) PUNCT iajs-2007 70 46 chronic chronic ADJ iajs-2007 70 47 urinary urinary ADJ iajs-2007 70 48 tract tract NOUN iajs-2007 70 49 infection infection NOUN iajs-2007 70 50 ( ( PUNCT iajs-2007 70 51 0 0 NUM iajs-2007 70 52 uninfected,1 uninfected,1 ADP iajs-2007 70 53 infected)𝑋 infected)𝑋 NOUN iajs-2007 70 54 2 2 NUM iajs-2007 70 55 . . NOUN iajs-2007 70 56 5 5 NUM iajs-2007 70 57 - - PUNCT iajs-2007 70 58 genetics genetic NOUN iajs-2007 70 59 ( ( PUNCT iajs-2007 70 60 0 0 NUM iajs-2007 70 61 do do AUX iajs-2007 70 62 n’t not PART iajs-2007 70 63 exist exist VERB iajs-2007 70 64 , , PUNCT iajs-2007 70 65 1 1 NUM iajs-2007 70 66 exist)𝑋 exist)𝑋 NOUN iajs-2007 70 67 3 3 NUM iajs-2007 70 68 . . NOUN iajs-2007 70 69 6 6 NUM iajs-2007 70 70 - - PUNCT iajs-2007 70 71 age𝑋 age𝑋 ADJ iajs-2007 70 72 4 4 NUM iajs-2007 70 73 . . NOUN iajs-2007 70 74 7sex 7sex NUM iajs-2007 70 75 ( ( PUNCT iajs-2007 70 76 1 1 NUM iajs-2007 70 77 for for ADP iajs-2007 70 78 male male NOUN iajs-2007 70 79 ) ) PUNCT iajs-2007 70 80 ( ( PUNCT iajs-2007 70 81 0 0 NUM iajs-2007 70 82 for for ADP iajs-2007 70 83 female)𝑋 female)𝑋 PROPN iajs-2007 70 84 5 5 NUM iajs-2007 70 85 . . NOUN iajs-2007 70 86 8 8 NUM iajs-2007 70 87 - - PUNCT iajs-2007 70 88 kidney kidney NOUN iajs-2007 70 89 stones stone NOUN iajs-2007 70 90 ( ( PUNCT iajs-2007 70 91 0 0 NUM iajs-2007 70 92 do do AUX iajs-2007 70 93 n’t not PART iajs-2007 70 94 exist exist VERB iajs-2007 70 95 , , PUNCT iajs-2007 70 96 1 1 NUM iajs-2007 70 97 exist)𝑋 exist)𝑋 NOUN iajs-2007 70 98 the the DET iajs-2007 70 99 statistical statistical ADJ iajs-2007 70 100 program program NOUN iajs-2007 70 101 spss spss PROPN iajs-2007 70 102 was be AUX iajs-2007 70 103 used use VERB iajs-2007 70 104 to to PART iajs-2007 70 105 perform perform VERB iajs-2007 70 106 the the DET iajs-2007 70 107 required require VERB iajs-2007 70 108 calculations calculation NOUN iajs-2007 70 109 . . PUNCT iajs-2007 71 1 mathematics mathematic NOUN iajs-2007 71 2 | | ADV iajs-2007 71 3 147 147 NUM iajs-2007 71 4 ibn ibn PROPN iajs-2007 71 5 al al PROPN iajs-2007 71 6 - - PUNCT iajs-2007 71 7 haitham haitham PROPN iajs-2007 71 8 jour jour X iajs-2007 71 9 . . PROPN iajs-2007 71 10 for for ADP iajs-2007 71 11 pure pure ADJ iajs-2007 71 12 & & CCONJ iajs-2007 71 13 appl appl PROPN iajs-2007 71 14 . . PUNCT iajs-2007 72 1 sci sci PROPN iajs-2007 72 2 . . PROPN iajs-2007 72 3 ihjpas ihjpas PROPN iajs-2007 72 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 72 5 vol vol NOUN iajs-2007 72 6 . . PUNCT iajs-2007 73 1 31 31 NUM iajs-2007 74 1 ( ( PUNCT iajs-2007 74 2 3 3 NUM iajs-2007 74 3 ) ) PUNCT iajs-2007 74 4 2018 2018 NUM iajs-2007 74 5 10 10 NUM iajs-2007 74 6 . . PUNCT iajs-2007 75 1 logistic logistic ADJ iajs-2007 75 2 regression regression NOUN iajs-2007 75 3 analysis analysis NOUN iajs-2007 75 4 employing employ VERB iajs-2007 75 5 the the DET iajs-2007 75 6 statistical statistical ADJ iajs-2007 75 7 program program NOUN iajs-2007 75 8 spss spss NOUN iajs-2007 75 9 , , PUNCT iajs-2007 75 10 the the DET iajs-2007 75 11 required require VERB iajs-2007 75 12 results result NOUN iajs-2007 75 13 were be AUX iajs-2007 75 14 obtained obtain VERB iajs-2007 75 15 , , PUNCT iajs-2007 75 16 and and CCONJ iajs-2007 75 17 arranged arrange VERB iajs-2007 75 18 in in ADP iajs-2007 75 19 the the DET iajs-2007 75 20 following follow VERB iajs-2007 75 21 tables table NOUN iajs-2007 75 22 . . PUNCT iajs-2007 76 1 table table NOUN iajs-2007 76 2 1 1 NUM iajs-2007 76 3 . . PUNCT iajs-2007 77 1 summarizes summarize NOUN iajs-2007 77 2 data datum NOUN iajs-2007 77 3 enters enter VERB iajs-2007 77 4 to to ADP iajs-2007 77 5 the the DET iajs-2007 77 6 analysis analysis NOUN iajs-2007 77 7 , , PUNCT iajs-2007 77 8 the the DET iajs-2007 77 9 sample sample NOUN iajs-2007 77 10 size size NOUN iajs-2007 77 11 studied study VERB iajs-2007 77 12 and and CCONJ iajs-2007 77 13 the the DET iajs-2007 77 14 missing miss VERB iajs-2007 77 15 data datum NOUN iajs-2007 77 16 . . PUNCT iajs-2007 78 1 the the DET iajs-2007 78 2 code code NOUN iajs-2007 78 3 ( ( PUNCT iajs-2007 78 4 or or CCONJ iajs-2007 78 5 symbol symbol NOUN iajs-2007 78 6 ) ) PUNCT iajs-2007 78 7 of of ADP iajs-2007 78 8 the the DET iajs-2007 78 9 dependent dependent ADJ iajs-2007 78 10 variable variable ADJ iajs-2007 78 11 values value NOUN iajs-2007 78 12 is be AUX iajs-2007 78 13 displayed display VERB iajs-2007 78 14 in in ADP iajs-2007 78 15 table table NOUN iajs-2007 78 16 2 2 NUM iajs-2007 78 17 . . PUNCT iajs-2007 78 18 table table NOUN iajs-2007 78 19 2 2 NUM iajs-2007 78 20 . . PUNCT iajs-2007 79 1 dependent dependent ADJ iajs-2007 79 2 variable variable NOUN iajs-2007 79 3 encoding encode VERB iajs-2007 79 4 original original ADJ iajs-2007 79 5 value value NOUN iajs-2007 79 6 internal internal ADJ iajs-2007 79 7 value value NOUN iajs-2007 79 8 uninfected uninfected ADJ iajs-2007 79 9 0 0 NUM iajs-2007 79 10 infected infected ADJ iajs-2007 79 11 1 1 NUM iajs-2007 79 12 table table NOUN iajs-2007 79 13 3 3 NUM iajs-2007 79 14 . . PUNCT iajs-2007 79 15 includes include VERB iajs-2007 79 16 the the DET iajs-2007 79 17 number number NOUN iajs-2007 79 18 of of ADP iajs-2007 79 19 iterations iteration NOUN iajs-2007 79 20 for for ADP iajs-2007 79 21 the the DET iajs-2007 79 22 derivatives derivative NOUN iajs-2007 79 23 of of ADP iajs-2007 79 24 likelihood likelihood NOUN iajs-2007 79 25 function function NOUN iajs-2007 79 26 in in ADP iajs-2007 79 27 order order NOUN iajs-2007 79 28 to to PART iajs-2007 79 29 obtain obtain VERB iajs-2007 79 30 the the DET iajs-2007 79 31 minimum minimum ADJ iajs-2007 79 32 value value NOUN iajs-2007 79 33 of of ADP iajs-2007 79 34 -2log -2log PROPN iajs-2007 79 35 likelihood likelihood NOUN iajs-2007 79 36 , , PUNCT iajs-2007 79 37 that that PRON iajs-2007 79 38 is be AUX iajs-2007 79 39 required require VERB iajs-2007 79 40 to to PART iajs-2007 79 41 get get VERB iajs-2007 79 42 the the DET iajs-2007 79 43 optimal optimal ADJ iajs-2007 79 44 estimates estimate NOUN iajs-2007 79 45 for for ADP iajs-2007 79 46 the the DET iajs-2007 79 47 model model NOUN iajs-2007 79 48 coefficients coefficient NOUN iajs-2007 79 49 . . PUNCT iajs-2007 80 1 the the DET iajs-2007 80 2 minimum minimum ADJ iajs-2007 80 3 value value NOUN iajs-2007 80 4 of of ADP iajs-2007 80 5 -2log -2log PROPN iajs-2007 80 6 likelihood likelihood NOUN iajs-2007 80 7 was be AUX iajs-2007 80 8 obtained obtain VERB iajs-2007 80 9 at at ADP iajs-2007 80 10 the the DET iajs-2007 80 11 six six NUM iajs-2007 80 12 iteration iteration NOUN iajs-2007 80 13 , , PUNCT iajs-2007 80 14 it it PRON iajs-2007 80 15 was be AUX iajs-2007 80 16 equal equal ADJ iajs-2007 80 17 to to ADP iajs-2007 80 18 81.207 81.207 NUM iajs-2007 80 19 the the DET iajs-2007 80 20 process process NOUN iajs-2007 80 21 was be AUX iajs-2007 80 22 stopped stop VERB iajs-2007 80 23 at at ADP iajs-2007 80 24 this this DET iajs-2007 80 25 iteration iteration NOUN iajs-2007 80 26 since since SCONJ iajs-2007 80 27 the the DET iajs-2007 80 28 differences difference NOUN iajs-2007 80 29 between between ADP iajs-2007 80 30 the the DET iajs-2007 80 31 values value NOUN iajs-2007 80 32 of of ADP iajs-2007 80 33 coefficients coefficient NOUN iajs-2007 80 34 became become VERB iajs-2007 80 35 very very ADV iajs-2007 80 36 small small ADJ iajs-2007 80 37 ( ( PUNCT iajs-2007 80 38 less less ADJ iajs-2007 80 39 than than ADP iajs-2007 80 40 0.001 0.001 NUM iajs-2007 80 41 ) ) PUNCT iajs-2007 80 42 . . PUNCT iajs-2007 81 1 in in ADP iajs-2007 81 2 fact fact NOUN iajs-2007 81 3 , , PUNCT iajs-2007 81 4 the the DET iajs-2007 81 5 variation variation NOUN iajs-2007 81 6 between between ADP iajs-2007 81 7 the the DET iajs-2007 81 8 estimated estimate VERB iajs-2007 81 9 coefficients coefficient NOUN iajs-2007 81 10 became become VERB iajs-2007 81 11 very very ADV iajs-2007 81 12 small small ADJ iajs-2007 81 13 after after ADP iajs-2007 81 14 the the DET iajs-2007 81 15 forth forth ADJ iajs-2007 81 16 iteration iteration NOUN iajs-2007 81 17 as as SCONJ iajs-2007 81 18 it it PRON iajs-2007 81 19 is be AUX iajs-2007 81 20 shown show VERB iajs-2007 81 21 in in ADP iajs-2007 81 22 table table NOUN iajs-2007 81 23 3 3 NUM iajs-2007 81 24 . . PUNCT iajs-2007 82 1 then then ADV iajs-2007 82 2 its its PRON iajs-2007 82 3 estimated estimate VERB iajs-2007 82 4 coefficients coefficient NOUN iajs-2007 82 5 to to PART iajs-2007 82 6 be be AUX iajs-2007 82 7 the the DET iajs-2007 82 8 best well ADV iajs-2007 82 9 estimated estimate VERB iajs-2007 82 10 coefficients coefficient NOUN iajs-2007 82 11 that that PRON iajs-2007 82 12 can can AUX iajs-2007 82 13 be be AUX iajs-2007 82 14 obtained obtain VERB iajs-2007 82 15 . . PUNCT iajs-2007 82 16 table table NOUN iajs-2007 82 17 3 3 NUM iajs-2007 82 18 . . PUNCT iajs-2007 82 19 iteration iteration NOUN iajs-2007 82 20 history history NOUN iajs-2007 82 21 iteration iteration NOUN iajs-2007 82 22 -2 -2 INTJ iajs-2007 82 23 log log PROPN iajs-2007 82 24 likelihood likelihood NOUN iajs-2007 82 25 coefficients coefficient NOUN iajs-2007 82 26 constant constant ADJ iajs-2007 83 1 x1 x1 PROPN iajs-2007 83 2 x2 x2 NOUN iajs-2007 83 3 x3 x3 PROPN iajs-2007 83 4 x4 x4 PROPN iajs-2007 83 5 x5 x5 PROPN iajs-2007 83 6 x6 x6 PROPN iajs-2007 83 7 x7 x7 NOUN iajs-2007 83 8 step step NOUN iajs-2007 83 9 11 11 NUM iajs-2007 83 10 2 2 NUM iajs-2007 83 11 3 3 NUM iajs-2007 83 12 4 4 NUM iajs-2007 83 13 5 5 NUM iajs-2007 83 14 6 6 NUM iajs-2007 83 15 7 7 NUM iajs-2007 83 16 62.354 62.354 NUM iajs-2007 83 17 48.716 48.716 NUM iajs-2007 83 18 44.753 44.753 NUM iajs-2007 83 19 43.919 43.919 NUM iajs-2007 83 20 43.851 43.851 NUM iajs-2007 83 21 43.850 43.850 NUM iajs-2007 83 22 43.850 43.850 NUM iajs-2007 83 23 -1.777 -1.777 NUM iajs-2007 83 24 -2.998 -2.998 ADP iajs-2007 83 25 -4.020 -4.020 NUM iajs-2007 83 26 -4.691 -4.691 SYM iajs-2007 83 27 -4.939 -4.939 PUNCT iajs-2007 83 28 -4.967 -4.967 NOUN iajs-2007 83 29 -4.968 -4.968 PRON iajs-2007 83 30 -0.005 -0.005 PUNCT iajs-2007 83 31 -0.003 -0.003 NOUN iajs-2007 84 1 0.000 0.000 NUM iajs-2007 84 2 0.003 0.003 NUM iajs-2007 84 3 0.004 0.004 NUM iajs-2007 84 4 0.004 0.004 NUM iajs-2007 84 5 0.004 0.004 NUM iajs-2007 84 6 -0.005 -0.005 NUM iajs-2007 84 7 -0.003 -0.003 NOUN iajs-2007 84 8 0.000 0.000 NUM iajs-2007 84 9 0.003 0.003 NUM iajs-2007 84 10 0.004 0.004 NUM iajs-2007 84 11 0.004 0.004 NUM iajs-2007 84 12 0.004 0.004 NUM iajs-2007 84 13 0.025 0.025 NUM iajs-2007 84 14 0.090 0.090 NUM iajs-2007 84 15 -0.302 -0.302 PUNCT iajs-2007 85 1 -0.492 -0.492 NOUN iajs-2007 85 2 -0.566 -0.566 NUM iajs-2007 85 3 -0.574 -0.574 X iajs-2007 85 4 -0.574 -0.574 NUM iajs-2007 85 5 0.046 0.046 NUM iajs-2007 86 1 0.132 0.132 NUM iajs-2007 86 2 0.226 0.226 NUM iajs-2007 86 3 0.307 0.307 NUM iajs-2007 86 4 0.346 0.346 NUM iajs-2007 86 5 0.350 0.350 NUM iajs-2007 86 6 0.350 0.350 NUM iajs-2007 86 7 1.528 1.528 NUM iajs-2007 86 8 2.445 2.445 NUM iajs-2007 86 9 3.210 3.210 NUM iajs-2007 86 10 3.735 3.735 NUM iajs-2007 86 11 3.933 3.933 NUM iajs-2007 86 12 3.955 3.955 NUM iajs-2007 86 13 3.955 3.955 NUM iajs-2007 86 14 0.054 0.054 NUM iajs-2007 86 15 0.090 0.090 NUM iajs-2007 86 16 0.157 0.157 NUM iajs-2007 86 17 0.239 0.239 NUM iajs-2007 86 18 0.281 0.281 NUM iajs-2007 86 19 0.287 0.287 NUM iajs-2007 86 20 0.287 0.287 NUM iajs-2007 86 21 0.293 0.293 NUM iajs-2007 86 22 0.632 0.632 NUM iajs-2007 86 23 0.949 0.949 NUM iajs-2007 86 24 1.140 1.140 NUM iajs-2007 86 25 1.197 1.197 NUM iajs-2007 86 26 1.203 1.203 NUM iajs-2007 86 27 1.203 1.203 NUM iajs-2007 86 28 table table NOUN iajs-2007 86 29 1.case 1.case NUM iajs-2007 86 30 processing processing NOUN iajs-2007 86 31 summary summary NOUN iajs-2007 86 32 n n PRON iajs-2007 86 33 percent percent NOUN iajs-2007 86 34 selected select VERB iajs-2007 86 35 cases case NOUN iajs-2007 86 36 included include VERB iajs-2007 86 37 in in ADP iajs-2007 86 38 analysis analysis NOUN iajs-2007 86 39 115 115 NUM iajs-2007 86 40 100.0 100.0 NUM iajs-2007 86 41 missing missing ADJ iajs-2007 86 42 cases case NOUN iajs-2007 86 43 0 0 NUM iajs-2007 86 44 .0 .0 NUM iajs-2007 86 45 total total NOUN iajs-2007 86 46 115 115 NUM iajs-2007 86 47 100.0 100.0 NUM iajs-2007 86 48 unselected unselected ADJ iajs-2007 86 49 cases case NOUN iajs-2007 86 50 0 0 NUM iajs-2007 86 51 .0 .0 NUM iajs-2007 86 52 total total NOUN iajs-2007 86 53 115 115 NUM iajs-2007 86 54 100.0 100.0 NUM iajs-2007 86 55 mathematics mathematic NOUN iajs-2007 87 1 | | ADV iajs-2007 87 2 148 148 NUM iajs-2007 87 3 ibn ibn PROPN iajs-2007 87 4 al al PROPN iajs-2007 87 5 - - PUNCT iajs-2007 87 6 haitham haitham PROPN iajs-2007 87 7 jour jour X iajs-2007 87 8 . . PROPN iajs-2007 88 1 for for ADP iajs-2007 88 2 pure pure ADJ iajs-2007 88 3 & & CCONJ iajs-2007 88 4 appl appl PROPN iajs-2007 88 5 . . PUNCT iajs-2007 89 1 sci sci PROPN iajs-2007 89 2 . . PROPN iajs-2007 89 3 ihjpas ihjpas PROPN iajs-2007 89 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 89 5 vol vol NOUN iajs-2007 89 6 . . PUNCT iajs-2007 90 1 31 31 NUM iajs-2007 91 1 ( ( PUNCT iajs-2007 91 2 3 3 NUM iajs-2007 91 3 ) ) SYM iajs-2007 91 4 2018 2018 NUM iajs-2007 91 5 table table NOUN iajs-2007 91 6 4 4 NUM iajs-2007 91 7 . . PUNCT iajs-2007 91 8 describes describe VERB iajs-2007 91 9 the the DET iajs-2007 91 10 estimator estimator NOUN iajs-2007 91 11 of of ADP iajs-2007 91 12 the the DET iajs-2007 91 13 parameters parameter NOUN iajs-2007 91 14 of of ADP iajs-2007 91 15 the the DET iajs-2007 91 16 optimal optimal ADJ iajs-2007 91 17 model model NOUN iajs-2007 91 18 obtained obtain VERB iajs-2007 91 19 from from ADP iajs-2007 91 20 the the DET iajs-2007 91 21 sixth sixth ADJ iajs-2007 91 22 iteration iteration NOUN iajs-2007 91 23 given give VERB iajs-2007 91 24 in in ADP iajs-2007 91 25 table table NOUN iajs-2007 91 26 3 3 NUM iajs-2007 91 27 . . PUNCT iajs-2007 92 1 all all DET iajs-2007 92 2 estimated estimate VERB iajs-2007 92 3 coefficients coefficient NOUN iajs-2007 92 4 𝛽 𝛽 PROPN iajs-2007 92 5 , , PUNCT iajs-2007 92 6 𝛽 𝛽 PROPN iajs-2007 92 7 … … PUNCT iajs-2007 92 8 . . PUNCT iajs-2007 92 9 . . PUNCT iajs-2007 93 1 𝛽 𝛽 NOUN iajs-2007 93 2 as as ADV iajs-2007 93 3 well well ADV iajs-2007 93 4 as as ADP iajs-2007 93 5 the the DET iajs-2007 93 6 standard standard ADJ iajs-2007 93 7 error error NOUN iajs-2007 93 8 and and CCONJ iajs-2007 93 9 the the DET iajs-2007 93 10 wald wald PROPN iajs-2007 93 11 statistic statistic NOUN iajs-2007 93 12 for for ADP iajs-2007 93 13 each each DET iajs-2007 93 14 estimated estimate VERB iajs-2007 93 15 coefficient coefficient NOUN iajs-2007 93 16 and and CCONJ iajs-2007 93 17 the the DET iajs-2007 93 18 upper upper ADJ iajs-2007 93 19 and and CCONJ iajs-2007 93 20 lower lower ADV iajs-2007 93 21 bound bind VERB iajs-2007 93 22 for for ADP iajs-2007 93 23 exp exp NOUN iajs-2007 93 24 ( ( PUNCT iajs-2007 93 25 Ξ² Ξ² NOUN iajs-2007 93 26 ) ) PUNCT iajs-2007 93 27 are be AUX iajs-2007 93 28 include include VERB iajs-2007 93 29 table table NOUN iajs-2007 93 30 4 4 NUM iajs-2007 93 31 . . PUNCT iajs-2007 94 1 variables variable NOUN iajs-2007 94 2 in in ADP iajs-2007 94 3 the the DET iajs-2007 94 4 equation equation NOUN iajs-2007 94 5 Ξ² Ξ² PROPN iajs-2007 94 6 s.e s.e PROPN iajs-2007 94 7 . . PROPN iajs-2007 94 8 wald wald PROPN iajs-2007 94 9 df df PROPN iajs-2007 94 10 sig sig PROPN iajs-2007 94 11 . . PUNCT iajs-2007 95 1 exp(Ξ² exp(Ξ² VERB iajs-2007 95 2 ) ) PUNCT iajs-2007 95 3 95.0 95.0 NUM iajs-2007 95 4 % % NOUN iajs-2007 95 5 c.i.for c.i.for NOUN iajs-2007 95 6 exp(Ξ² exp(Ξ² PROPN iajs-2007 95 7 ) ) PUNCT iajs-2007 95 8 lower low ADJ iajs-2007 95 9 upper upper ADJ iajs-2007 95 10 step1 step1 NOUN iajs-2007 96 1 x1 x1 PROPN iajs-2007 96 2 2.415 2.415 NUM iajs-2007 96 3 0.742 0.742 NUM iajs-2007 96 4 10.596 10.596 NUM iajs-2007 96 5 1 1 NUM iajs-2007 96 6 0.001 0.001 NUM iajs-2007 96 7 11.195 11.195 NUM iajs-2007 96 8 2.614 2.614 NUM iajs-2007 96 9 47.934 47.934 NUM iajs-2007 96 10 x2 x2 NOUN iajs-2007 96 11 3.168 3.168 NUM iajs-2007 96 12 0.798 0.798 NUM iajs-2007 96 13 15.767 15.767 NUM iajs-2007 96 14 1 1 NUM iajs-2007 96 15 0.000 0.000 NUM iajs-2007 96 16 23.749 23.749 NUM iajs-2007 96 17 4.973 4.973 NUM iajs-2007 96 18 113.417 113.417 NUM iajs-2007 96 19 x3 x3 PROPN iajs-2007 96 20 4.725 4.725 NUM iajs-2007 96 21 0.955 0.955 NUM iajs-2007 96 22 24.464 24.464 NUM iajs-2007 96 23 1 1 NUM iajs-2007 96 24 0.000 0.000 NUM iajs-2007 96 25 112.780 112.780 NUM iajs-2007 96 26 17.339 17.339 NUM iajs-2007 96 27 733.588 733.588 NUM iajs-2007 96 28 x4 x4 PROPN iajs-2007 96 29 3.258 3.258 NUM iajs-2007 96 30 0.854 0.854 NUM iajs-2007 96 31 14.561 14.561 NUM iajs-2007 96 32 1 1 NUM iajs-2007 96 33 0.000 0.000 NUM iajs-2007 96 34 26.005 26.005 NUM iajs-2007 96 35 4.878 4.878 NUM iajs-2007 96 36 138.637 138.637 NUM iajs-2007 96 37 x5 x5 NOUN iajs-2007 96 38 0.728 0.728 NUM iajs-2007 96 39 0.861 0.861 NUM iajs-2007 96 40 0.714 0.714 NUM iajs-2007 96 41 1 1 NUM iajs-2007 96 42 0.398 0.398 NUM iajs-2007 96 43 2.070 2.070 NUM iajs-2007 96 44 0.383 0.383 NUM iajs-2007 96 45 11.196 11.196 NUM iajs-2007 96 46 x6 x6 PROPN iajs-2007 96 47 -0.004 -0.004 PUNCT iajs-2007 96 48 0.018 0.018 NUM iajs-2007 96 49 0.043 0.043 NUM iajs-2007 96 50 1 1 NUM iajs-2007 96 51 0.835 0.835 NUM iajs-2007 96 52 0.996 0.996 NUM iajs-2007 96 53 0.962 0.962 NUM iajs-2007 96 54 1.032 1.032 NUM iajs-2007 96 55 x7 x7 NOUN iajs-2007 96 56 -1.027 -1.027 NUM iajs-2007 96 57 0.598 0.598 NUM iajs-2007 96 58 2.942 2.942 NUM iajs-2007 96 59 1 1 NUM iajs-2007 96 60 0.086 0.086 NUM iajs-2007 96 61 0.358 0.358 NUM iajs-2007 96 62 0.111 0.111 NUM iajs-2007 96 63 1.158 1.158 NUM iajs-2007 96 64 x8 x8 PROPN iajs-2007 96 65 1.863 1.863 NUM iajs-2007 96 66 0.748 0.748 NUM iajs-2007 96 67 6.200 6.200 NUM iajs-2007 96 68 1 1 NUM iajs-2007 96 69 0.013 0.013 NUM iajs-2007 96 70 6.446 6.446 NUM iajs-2007 96 71 1.487 1.487 NUM iajs-2007 96 72 27.945 27.945 NUM iajs-2007 96 73 constant constant ADJ iajs-2007 96 74 -4.644 -4.644 NUM iajs-2007 96 75 1.381 1.381 NUM iajs-2007 96 76 11.311 11.311 NUM iajs-2007 96 77 1 1 NUM iajs-2007 96 78 0.001 0.001 NUM iajs-2007 96 79 0.010 0.010 NUM iajs-2007 96 80 where where SCONJ iajs-2007 96 81 wald wald NOUN iajs-2007 96 82 statistic statistic NOUN iajs-2007 96 83 = = SYM iajs-2007 96 84 , , PUNCT iajs-2007 96 85 and and CCONJ iajs-2007 96 86 sb sb PROPN iajs-2007 96 87 is be AUX iajs-2007 96 88 the the DET iajs-2007 96 89 standard standard ADJ iajs-2007 96 90 error error NOUN iajs-2007 96 91 of of ADP iajs-2007 96 92 b b PROPN iajs-2007 96 93 , , PUNCT iajs-2007 96 94 the the DET iajs-2007 96 95 wald wald PROPN iajs-2007 96 96 statistic statistic NOUN iajs-2007 96 97 for for ADP iajs-2007 96 98 the the DET iajs-2007 96 99 first first ADJ iajs-2007 96 100 estimate estimate NOUN iajs-2007 96 101 corresponding correspond VERB iajs-2007 96 102 to to ADP iajs-2007 96 103 x1 x1 PROPN iajs-2007 96 104 is be AUX iajs-2007 96 105 given give VERB iajs-2007 96 106 as as ADP iajs-2007 96 107 : : PUNCT iajs-2007 96 108 wald wald X iajs-2007 96 109 = = PUNCT iajs-2007 96 110 . . PUNCT iajs-2007 96 111 . . PUNCT iajs-2007 97 1 10.596 10.596 NUM iajs-2007 97 2 from from ADP iajs-2007 97 3 this this DET iajs-2007 97 4 table table NOUN iajs-2007 97 5 we we PRON iajs-2007 97 6 conclude conclude VERB iajs-2007 97 7 that that SCONJ iajs-2007 97 8 the the DET iajs-2007 97 9 logistic logistic ADJ iajs-2007 97 10 regression regression NOUN iajs-2007 97 11 equation equation NOUN iajs-2007 97 12 is be AUX iajs-2007 97 13 π‘™π‘œπ‘”π‘–π‘‘ π‘™π‘œπ‘”π‘–π‘‘ ADJ iajs-2007 97 14 πœ‹ πœ‹ NOUN iajs-2007 97 15 1 1 NUM iajs-2007 97 16 πœ‹ πœ‹ NUM iajs-2007 97 17 4.644 4.644 NUM iajs-2007 97 18 2.415π‘₯ 2.415π‘₯ NUM iajs-2007 97 19 3.168π‘₯ 3.168π‘₯ NOUN iajs-2007 97 20 4.725π‘₯ 4.725π‘₯ NOUN iajs-2007 97 21 3.258π‘₯ 3.258π‘₯ NUM iajs-2007 97 22 0.728π‘₯ 0.728π‘₯ NOUN iajs-2007 97 23 0.004π‘₯ 0.004π‘₯ NUM iajs-2007 97 24 1.027π‘₯ 1.027π‘₯ NUM iajs-2007 97 25 1.863π‘₯ 1.863π‘₯ NUM iajs-2007 97 26 11 11 NUM iajs-2007 97 27 to to PART iajs-2007 97 28 test test VERB iajs-2007 97 29 the the DET iajs-2007 97 30 efficiency efficiency NOUN iajs-2007 97 31 and and CCONJ iajs-2007 97 32 the the DET iajs-2007 97 33 goodness goodness NOUN iajs-2007 97 34 of of ADP iajs-2007 97 35 fit fit NOUN iajs-2007 97 36 for for ADP iajs-2007 97 37 the the DET iajs-2007 97 38 whole whole ADJ iajs-2007 97 39 model model NOUN iajs-2007 97 40 we we PRON iajs-2007 97 41 use use VERB iajs-2007 97 42 the the DET iajs-2007 97 43 log log NOUN iajs-2007 97 44 likelihood likelihood NOUN iajs-2007 97 45 ration ration NOUN iajs-2007 97 46 , , PUNCT iajs-2007 97 47 which which PRON iajs-2007 97 48 follows follow VERB iajs-2007 97 49 the the DET iajs-2007 97 50 relationship relationship NOUN iajs-2007 97 51 π‘₯ π‘₯ PRON iajs-2007 97 52 2 2 NUM iajs-2007 97 53 log log NOUN iajs-2007 97 54 𝐿 𝐿 PROPN iajs-2007 97 55 log log NOUN iajs-2007 97 56 𝐿 𝐿 PROPN iajs-2007 97 57 where where SCONJ iajs-2007 97 58 : : PUNCT iajs-2007 97 59 𝐿 𝐿 PROPN iajs-2007 97 60 is be AUX iajs-2007 97 61 the the DET iajs-2007 97 62 value value NOUN iajs-2007 97 63 of of ADP iajs-2007 97 64 likelihood likelihood NOUN iajs-2007 97 65 function function NOUN iajs-2007 97 66 of of ADP iajs-2007 97 67 the the DET iajs-2007 97 68 full full ADJ iajs-2007 97 69 model model NOUN iajs-2007 97 70 , , PUNCT iajs-2007 97 71 𝐿 𝐿 PROPN iajs-2007 97 72 is be AUX iajs-2007 97 73 the the DET iajs-2007 97 74 value value NOUN iajs-2007 97 75 of of ADP iajs-2007 97 76 likelihood likelihood NOUN iajs-2007 97 77 function function NOUN iajs-2007 97 78 of of ADP iajs-2007 97 79 the the DET iajs-2007 97 80 reduced reduce VERB iajs-2007 97 81 model model NOUN iajs-2007 97 82 , , PUNCT iajs-2007 97 83 the the DET iajs-2007 97 84 value value NOUN iajs-2007 97 85 of of ADP iajs-2007 97 86 πœ’ πœ’ NOUN iajs-2007 97 87 was be AUX iajs-2007 97 88 found find VERB iajs-2007 97 89 to to PART iajs-2007 97 90 be be AUX iajs-2007 97 91 77.791which 77.791which PROPN iajs-2007 97 92 is be AUX iajs-2007 97 93 significant significant ADJ iajs-2007 97 94 at at ADP iajs-2007 97 95 the the DET iajs-2007 97 96 level level NOUN iajs-2007 97 97 Ξ± Ξ± NOUN iajs-2007 97 98 less less ADJ iajs-2007 97 99 than than ADP iajs-2007 97 100 0.001 0.001 NUM iajs-2007 97 101 and and CCONJ iajs-2007 97 102 8 8 NUM iajs-2007 97 103 degrees degree NOUN iajs-2007 97 104 of of ADP iajs-2007 97 105 freedom freedom NOUN iajs-2007 97 106 with with ADP iajs-2007 97 107 sig=0 sig=0 NOUN iajs-2007 97 108 which which PRON iajs-2007 97 109 ensure ensure VERB iajs-2007 97 110 the the DET iajs-2007 97 111 significance significance NOUN iajs-2007 97 112 of of ADP iajs-2007 97 113 the the DET iajs-2007 97 114 whole whole ADJ iajs-2007 97 115 fitted fit VERB iajs-2007 97 116 model model NOUN iajs-2007 97 117 as as SCONJ iajs-2007 97 118 shown show VERB iajs-2007 97 119 in in ADP iajs-2007 97 120 table table NOUN iajs-2007 97 121 5 5 NUM iajs-2007 97 122 . . PUNCT iajs-2007 97 123 table table NOUN iajs-2007 97 124 5 5 NUM iajs-2007 97 125 . . PUNCT iajs-2007 98 1 omnibus omnibus ADJ iajs-2007 98 2 tests test NOUN iajs-2007 98 3 of of ADP iajs-2007 98 4 model model NOUN iajs-2007 98 5 coefficients coefficient VERB iajs-2007 98 6 chi chi ADJ iajs-2007 98 7 - - PUNCT iajs-2007 98 8 square square ADJ iajs-2007 98 9 df df PROPN iajs-2007 98 10 sig sig PROPN iajs-2007 98 11 . . PUNCT iajs-2007 99 1 model model PROPN iajs-2007 99 2 77.791 77.791 NUM iajs-2007 99 3 8 8 NUM iajs-2007 99 4 .000 .000 NUM iajs-2007 99 5 another another DET iajs-2007 99 6 test test NOUN iajs-2007 99 7 for for ADP iajs-2007 99 8 the the DET iajs-2007 99 9 goodness goodness NOUN iajs-2007 99 10 of of ADP iajs-2007 99 11 fit fit NOUN iajs-2007 99 12 of of ADP iajs-2007 99 13 the the DET iajs-2007 99 14 model model NOUN iajs-2007 99 15 depending depend VERB iajs-2007 99 16 upon upon SCONJ iajs-2007 99 17 the the DET iajs-2007 99 18 Ο‡ Ο‡ PRON iajs-2007 99 19 statistic statistic NOUN iajs-2007 99 20 is be AUX iajs-2007 99 21 presented present VERB iajs-2007 99 22 in in ADP iajs-2007 99 23 table table NOUN iajs-2007 99 24 6 6 NUM iajs-2007 99 25 . . PUNCT iajs-2007 100 1 the the DET iajs-2007 100 2 test test NOUN iajs-2007 100 3 statistic statistic NOUN iajs-2007 100 4 here here ADV iajs-2007 100 5 is be AUX iajs-2007 100 6 based base VERB iajs-2007 100 7 on on ADP iajs-2007 100 8 two two NUM iajs-2007 100 9 components component NOUN iajs-2007 100 10 , , PUNCT iajs-2007 100 11 as as ADP iajs-2007 100 12 hosmer hosmer NOUN iajs-2007 100 13 and and CCONJ iajs-2007 100 14 lemeshow lemeshow ADJ iajs-2007 100 15 mathematics mathematic NOUN iajs-2007 100 16 | | ADV iajs-2007 100 17 149 149 NUM iajs-2007 100 18 ibn ibn PROPN iajs-2007 100 19 al al PROPN iajs-2007 100 20 - - PUNCT iajs-2007 100 21 haitham haitham PROPN iajs-2007 100 22 jour jour X iajs-2007 100 23 . . PROPN iajs-2007 101 1 for for ADP iajs-2007 101 2 pure pure ADJ iajs-2007 101 3 & & CCONJ iajs-2007 101 4 appl appl PROPN iajs-2007 101 5 . . PUNCT iajs-2007 102 1 sci sci PROPN iajs-2007 102 2 . . PROPN iajs-2007 102 3 ihjpas ihjpas PROPN iajs-2007 102 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 102 5 vol vol NOUN iajs-2007 102 6 . . PUNCT iajs-2007 103 1 31 31 NUM iajs-2007 104 1 ( ( PUNCT iajs-2007 104 2 3 3 NUM iajs-2007 104 3 ) ) PUNCT iajs-2007 104 4 2018 2018 NUM iajs-2007 104 5 suggested suggest VERB iajs-2007 104 6 . . PUNCT iajs-2007 105 1 namely namely ADV iajs-2007 105 2 , , PUNCT iajs-2007 105 3 the the DET iajs-2007 105 4 observed observe VERB iajs-2007 105 5 component component NOUN iajs-2007 105 6 which which PRON iajs-2007 105 7 does do AUX iajs-2007 105 8 not not PART iajs-2007 105 9 depend depend VERB iajs-2007 105 10 on on ADP iajs-2007 105 11 any any DET iajs-2007 105 12 theoretical theoretical ADJ iajs-2007 105 13 distribution distribution NOUN iajs-2007 105 14 and and CCONJ iajs-2007 105 15 expected expect VERB iajs-2007 105 16 component component NOUN iajs-2007 105 17 obtained obtain VERB iajs-2007 105 18 from from ADP iajs-2007 105 19 the the DET iajs-2007 105 20 estimated estimate VERB iajs-2007 105 21 logistic logistic ADJ iajs-2007 105 22 model model NOUN iajs-2007 105 23 . . PUNCT iajs-2007 106 1 table table NOUN iajs-2007 106 2 6 6 NUM iajs-2007 106 3 . . PUNCT iajs-2007 106 4 contingency contingency NOUN iajs-2007 106 5 table table NOUN iajs-2007 106 6 for for ADP iajs-2007 106 7 hosmer hosmer NOUN iajs-2007 106 8 and and CCONJ iajs-2007 106 9 lemeshow lemeshow ADJ iajs-2007 106 10 test test NOUN iajs-2007 106 11 group group NOUN iajs-2007 106 12 = = PUNCT iajs-2007 106 13 uninfected uninfected ADJ iajs-2007 106 14 group group NOUN iajs-2007 106 15 = = NUM iajs-2007 106 16 infected infect VERB iajs-2007 106 17 total total NOUN iajs-2007 106 18 observed observe VERB iajs-2007 106 19 expected expect VERB iajs-2007 106 20 observed observed ADJ iajs-2007 106 21 expected expect VERB iajs-2007 106 22 step step NOUN iajs-2007 106 23 1 1 NUM iajs-2007 106 24 1 1 NUM iajs-2007 106 25 12 12 NUM iajs-2007 106 26 11.697 11.697 NUM iajs-2007 106 27 0 0 NUM iajs-2007 106 28 0.303 0.303 NUM iajs-2007 106 29 12 12 NUM iajs-2007 106 30 2 2 NUM iajs-2007 106 31 9 9 NUM iajs-2007 106 32 11.163 11.163 NUM iajs-2007 106 33 3 3 NUM iajs-2007 106 34 0.837 0.837 NUM iajs-2007 106 35 12 12 NUM iajs-2007 106 36 3 3 NUM iajs-2007 106 37 11 11 NUM iajs-2007 106 38 10.327 10.327 NUM iajs-2007 106 39 1 1 NUM iajs-2007 106 40 1.673 1.673 NUM iajs-2007 106 41 12 12 NUM iajs-2007 106 42 4 4 NUM iajs-2007 106 43 8 8 NUM iajs-2007 106 44 8.474 8.474 NUM iajs-2007 106 45 4 4 NUM iajs-2007 106 46 3.526 3.526 NUM iajs-2007 106 47 12 12 NUM iajs-2007 106 48 5 5 NUM iajs-2007 106 49 8 8 NUM iajs-2007 106 50 5.997 5.997 NUM iajs-2007 106 51 4 4 NUM iajs-2007 106 52 6.003 6.003 NUM iajs-2007 106 53 12 12 NUM iajs-2007 106 54 6 6 NUM iajs-2007 106 55 5 5 NUM iajs-2007 106 56 3.572 3.572 NUM iajs-2007 106 57 7 7 NUM iajs-2007 106 58 8.428 8.428 NUM iajs-2007 106 59 12 12 NUM iajs-2007 106 60 7 7 NUM iajs-2007 106 61 1 1 NUM iajs-2007 106 62 1.826 1.826 NUM iajs-2007 106 63 11 11 NUM iajs-2007 106 64 10.174 10.174 NUM iajs-2007 106 65 12 12 NUM iajs-2007 106 66 8 8 NUM iajs-2007 106 67 0 0 NUM iajs-2007 106 68 0.725 0.725 NUM iajs-2007 106 69 12 12 NUM iajs-2007 106 70 11.275 11.275 NUM iajs-2007 106 71 12 12 NUM iajs-2007 106 72 9 9 NUM iajs-2007 106 73 0 0 NUM iajs-2007 106 74 0.215 0.215 NUM iajs-2007 106 75 12 12 NUM iajs-2007 106 76 11.785 11.785 NUM iajs-2007 106 77 12 12 NUM iajs-2007 106 78 1 1 NUM iajs-2007 106 79 0 0 NUM iajs-2007 106 80 0 0 NUM iajs-2007 106 81 0.003 0.003 NUM iajs-2007 106 82 7 7 NUM iajs-2007 106 83 6.997 6.997 NUM iajs-2007 106 84 7 7 NUM iajs-2007 106 85 the the DET iajs-2007 106 86 value value NOUN iajs-2007 106 87 of of ADP iajs-2007 106 88 Ο‡ Ο‡ NOUN iajs-2007 106 89 was be AUX iajs-2007 106 90 found find VERB iajs-2007 106 91 to to PART iajs-2007 106 92 be10.308 be10.308 PART iajs-2007 106 93 with with ADP iajs-2007 106 94 8 8 NUM iajs-2007 106 95 degrees degree NOUN iajs-2007 106 96 of of ADP iajs-2007 106 97 freedom freedom NOUN iajs-2007 106 98 and and CCONJ iajs-2007 106 99 significant significant ADJ iajs-2007 106 100 value value NOUN iajs-2007 106 101 0.244 0.244 NUM iajs-2007 106 102 as as SCONJ iajs-2007 106 103 shown show VERB iajs-2007 106 104 in in ADP iajs-2007 106 105 table table NOUN iajs-2007 106 106 7 7 NUM iajs-2007 106 107 . . NUM iajs-2007 106 108 , , PUNCT iajs-2007 106 109 hence hence ADV iajs-2007 106 110 , , PUNCT iajs-2007 106 111 we we PRON iajs-2007 106 112 accept accept VERB iajs-2007 106 113 the the DET iajs-2007 106 114 null null ADJ iajs-2007 106 115 hypothesis hypothesis NOUN iajs-2007 106 116 that that SCONJ iajs-2007 106 117 there there PRON iajs-2007 106 118 is be VERB iajs-2007 106 119 no no DET iajs-2007 106 120 difference difference NOUN iajs-2007 106 121 between between ADP iajs-2007 106 122 the the DET iajs-2007 106 123 actual actual ADJ iajs-2007 106 124 and and CCONJ iajs-2007 106 125 expected expect VERB iajs-2007 106 126 frequencies frequency NOUN iajs-2007 106 127 which which PRON iajs-2007 106 128 implies imply VERB iajs-2007 106 129 that that SCONJ iajs-2007 106 130 a a DET iajs-2007 106 131 good good ADJ iajs-2007 106 132 fitting fitting NOUN iajs-2007 106 133 for for ADP iajs-2007 106 134 the the DET iajs-2007 106 135 whole whole ADJ iajs-2007 106 136 model model NOUN iajs-2007 106 137 . . PUNCT iajs-2007 107 1 from from ADP iajs-2007 107 2 table table NOUN iajs-2007 107 3 the the DET iajs-2007 107 4 closeness closeness NOUN iajs-2007 107 5 of of ADP iajs-2007 107 6 observed observed ADJ iajs-2007 107 7 and and CCONJ iajs-2007 107 8 expected expect VERB iajs-2007 107 9 values value NOUN iajs-2007 107 10 is be AUX iajs-2007 107 11 clear clear ADJ iajs-2007 107 12 . . PUNCT iajs-2007 108 1 the the DET iajs-2007 108 2 percentage percentage NOUN iajs-2007 108 3 of of ADP iajs-2007 108 4 the the DET iajs-2007 108 5 correct correct ADJ iajs-2007 108 6 classification classification NOUN iajs-2007 108 7 is be AUX iajs-2007 108 8 presented present VERB iajs-2007 108 9 in in ADP iajs-2007 108 10 table table NOUN iajs-2007 108 11 8 8 NUM iajs-2007 108 12 . . PUNCT iajs-2007 109 1 the the DET iajs-2007 109 2 overall overall ADJ iajs-2007 109 3 percentage percentage NOUN iajs-2007 109 4 was be AUX iajs-2007 109 5 found find VERB iajs-2007 109 6 to to PART iajs-2007 109 7 be be AUX iajs-2007 109 8 83.5 83.5 NUM iajs-2007 109 9 % % NOUN iajs-2007 109 10 calculated calculate VERB iajs-2007 109 11 as as ADP iajs-2007 109 12 [ [ X iajs-2007 109 13 ( ( PUNCT iajs-2007 109 14 44 44 NUM iajs-2007 109 15 + + NOUN iajs-2007 109 16 52)/115 52)/115 NOUN iajs-2007 109 17 ] ] PUNCT iajs-2007 109 18 Γ—100 Γ—100 NOUN iajs-2007 109 19 % % NOUN iajs-2007 109 20 while while SCONJ iajs-2007 109 21 the the DET iajs-2007 109 22 percentage percentage NOUN iajs-2007 109 23 of of ADP iajs-2007 109 24 not not PART iajs-2007 109 25 correct correct VERB iajs-2007 109 26 classification classification NOUN iajs-2007 109 27 was be AUX iajs-2007 109 28 found find VERB iajs-2007 109 29 to to PART iajs-2007 109 30 be be AUX iajs-2007 109 31 [ [ X iajs-2007 109 32 ( ( PUNCT iajs-2007 109 33 9 9 NUM iajs-2007 109 34 + + NOUN iajs-2007 109 35 10)/115 10)/115 NOUN iajs-2007 109 36 ] ] PUNCT iajs-2007 109 37 Γ—100%=16.5 Γ—100%=16.5 X iajs-2007 109 38 % % NOUN iajs-2007 109 39 and and CCONJ iajs-2007 109 40 this this PRON iajs-2007 109 41 is be AUX iajs-2007 109 42 a a DET iajs-2007 109 43 good good ADJ iajs-2007 109 44 indicator indicator NOUN iajs-2007 109 45 that that PRON iajs-2007 109 46 the the DET iajs-2007 109 47 model model NOUN iajs-2007 109 48 fits fit VERB iajs-2007 109 49 well well ADV iajs-2007 109 50 the the DET iajs-2007 109 51 data datum NOUN iajs-2007 109 52 . . PUNCT iajs-2007 110 1 table table NOUN iajs-2007 110 2 8 8 NUM iajs-2007 110 3 . . PUNCT iajs-2007 111 1 classification classification NOUN iajs-2007 111 2 table table NOUN iajs-2007 111 3 observed observe VERB iajs-2007 111 4 predicted predict VERB iajs-2007 111 5 group group NOUN iajs-2007 111 6 percentage percentage NOUN iajs-2007 111 7 correct correct ADJ iajs-2007 111 8 uninfected uninfected ADJ iajs-2007 111 9 infected infect VERB iajs-2007 111 10 step step NOUN iajs-2007 111 11 1 1 NUM iajs-2007 111 12 group group NOUN iajs-2007 111 13 uninfected uninfecte VERB iajs-2007 111 14 44 44 NUM iajs-2007 111 15 10 10 NUM iajs-2007 111 16 81.5 81.5 NUM iajs-2007 111 17 infected infect VERB iajs-2007 111 18 9 9 NUM iajs-2007 111 19 52 52 NUM iajs-2007 111 20 85.5 85.5 NUM iajs-2007 111 21 overall overall ADJ iajs-2007 111 22 percentage percentage NOUN iajs-2007 111 23 83.5 83.5 NUM iajs-2007 111 24 11 11 NUM iajs-2007 111 25 . . PUNCT iajs-2007 112 1 conclusions conclusion NOUN iajs-2007 112 2 1 1 NUM iajs-2007 112 3 ) ) PUNCT iajs-2007 112 4 the the DET iajs-2007 112 5 best good ADJ iajs-2007 112 6 way way NOUN iajs-2007 112 7 to to PART iajs-2007 112 8 appreciate appreciate VERB iajs-2007 112 9 the the DET iajs-2007 112 10 wald wald NOUN iajs-2007 112 11 statistic statistic NOUN iajs-2007 112 12 is be AUX iajs-2007 112 13 to to PART iajs-2007 112 14 consider consider VERB iajs-2007 112 15 its its PRON iajs-2007 112 16 significance significance NOUN iajs-2007 112 17 values value NOUN iajs-2007 112 18 , , PUNCT iajs-2007 112 19 we we PRON iajs-2007 112 20 reject reject VERB iajs-2007 112 21 the the DET iajs-2007 112 22 null null ADJ iajs-2007 112 23 hypothesisand hypothesisand NOUN iajs-2007 112 24 accept accept VERB iajs-2007 112 25 the the DET iajs-2007 112 26 alternative alternative ADJ iajs-2007 112 27 hypothesis hypothesis NOUN iajs-2007 112 28 which which PRON iajs-2007 112 29 implies imply VERB iajs-2007 112 30 that that SCONJ iajs-2007 112 31 the the DET iajs-2007 112 32 variable variable NOUN iajs-2007 112 33 under under ADP iajs-2007 112 34 consideration consideration NOUN iajs-2007 112 35 does do AUX iajs-2007 112 36 make make VERB iajs-2007 112 37 a a DET iajs-2007 112 38 significant significant ADJ iajs-2007 112 39 contribution contribution NOUN iajs-2007 112 40 . . PUNCT iajs-2007 113 1 in in ADP iajs-2007 113 2 our our PRON iajs-2007 113 3 study study NOUN iajs-2007 113 4 , , PUNCT iajs-2007 113 5 we we PRON iajs-2007 113 6 noted note VERB iajs-2007 113 7 that that SCONJ iajs-2007 113 8 five five NUM iajs-2007 113 9 table table NOUN iajs-2007 113 10 7.hosmer 7.hosmer NUM iajs-2007 113 11 and and CCONJ iajs-2007 113 12 lemeshow lemeshow ADJ iajs-2007 113 13 test test NOUN iajs-2007 113 14 step step NOUN iajs-2007 113 15 chi chi ADJ iajs-2007 113 16 - - PUNCT iajs-2007 113 17 square square ADJ iajs-2007 113 18 df df PROPN iajs-2007 113 19 sig sig NOUN iajs-2007 113 20 . . PROPN iajs-2007 114 1 1 1 NUM iajs-2007 114 2 10.308 10.308 NUM iajs-2007 114 3 8 8 NUM iajs-2007 114 4 .244 .244 NUM iajs-2007 114 5 mathematics mathematic NOUN iajs-2007 114 6 | | ADV iajs-2007 114 7 150 150 NUM iajs-2007 114 8 ibn ibn PROPN iajs-2007 114 9 al al PROPN iajs-2007 114 10 - - PUNCT iajs-2007 114 11 haitham haitham PROPN iajs-2007 114 12 jour jour X iajs-2007 114 13 . . PROPN iajs-2007 114 14 for for ADP iajs-2007 114 15 pure pure ADJ iajs-2007 114 16 & & CCONJ iajs-2007 114 17 appl appl PROPN iajs-2007 114 18 . . PUNCT iajs-2007 115 1 sci sci PROPN iajs-2007 115 2 . . PROPN iajs-2007 115 3 ihjpas ihjpas PROPN iajs-2007 115 4 https://doi.org/10.30526/31.3.2007 https://doi.org/10.30526/31.3.2007 PROPN iajs-2007 115 5 vol vol NOUN iajs-2007 115 6 . . PUNCT iajs-2007 116 1 31 31 NUM iajs-2007 117 1 ( ( PUNCT iajs-2007 117 2 3 3 NUM iajs-2007 117 3 ) ) PUNCT iajs-2007 117 4 2018 2018 NUM iajs-2007 117 5 explanatory explanatory ADJ iajs-2007 117 6 variables variable NOUN iajs-2007 117 7 are be AUX iajs-2007 117 8 contributed contribute VERB iajs-2007 117 9 significantly significantly ADV iajs-2007 117 10 to to ADP iajs-2007 117 11 the the DET iajs-2007 117 12 prediction prediction NOUN iajs-2007 117 13 , , PUNCT iajs-2007 117 14 namely namely ADV iajs-2007 117 15 , , PUNCT iajs-2007 117 16 x1 x1 PROPN iajs-2007 117 17 , , PUNCT iajs-2007 117 18 x2 x2 PROPN iajs-2007 117 19 , , PUNCT iajs-2007 117 20 x3 x3 ADJ iajs-2007 117 21 , , PUNCT iajs-2007 117 22 x4 x4 PROPN iajs-2007 117 23 and and CCONJ iajs-2007 117 24 x8 x8 NOUN iajs-2007 117 25 whose whose DET iajs-2007 117 26 significant significant ADJ iajs-2007 117 27 values value NOUN iajs-2007 117 28 are be AUX iajs-2007 117 29 less less ADJ iajs-2007 117 30 than than ADP iajs-2007 117 31 0.05 0.05 NUM iajs-2007 117 32 as as SCONJ iajs-2007 117 33 it it PRON iajs-2007 117 34 is be AUX iajs-2007 117 35 shown show VERB iajs-2007 117 36 in in ADP iajs-2007 117 37 table table NOUN iajs-2007 117 38 4 4 NUM iajs-2007 117 39 . . NOUN iajs-2007 117 40 2 2 NUM iajs-2007 117 41 ) ) PUNCT iajs-2007 117 42 hosmer hosmer NOUN iajs-2007 117 43 and and CCONJ iajs-2007 117 44 lemeshow lemeshow PROPN iajs-2007 117 45 ( ( PUNCT iajs-2007 117 46 h h NOUN iajs-2007 117 47 – – PUNCT iajs-2007 117 48 l l NOUN iajs-2007 117 49 ) ) PUNCT iajs-2007 117 50 goodness goodness NOUN iajs-2007 117 51 of of ADP iajs-2007 117 52 fit fit ADJ iajs-2007 117 53 test test NOUN iajs-2007 117 54 is be AUX iajs-2007 117 55 one one NUM iajs-2007 117 56 of of ADP iajs-2007 117 57 the the DET iajs-2007 117 58 most most ADV iajs-2007 117 59 popular popular ADJ iajs-2007 117 60 methods method NOUN iajs-2007 117 61 in in ADP iajs-2007 117 62 logistic logistic ADJ iajs-2007 117 63 regression regression NOUN iajs-2007 117 64 for for ADP iajs-2007 117 65 testing test VERB iajs-2007 117 66 the the DET iajs-2007 117 67 null null ADJ iajs-2007 117 68 hypothesis hypothesis NOUN iajs-2007 117 69 which which PRON iajs-2007 117 70 assumes assume VERB iajs-2007 117 71 that that SCONJ iajs-2007 117 72 there there PRON iajs-2007 117 73 is be VERB iajs-2007 117 74 no no DET iajs-2007 117 75 difference difference NOUN iajs-2007 117 76 between between ADP iajs-2007 117 77 the the DET iajs-2007 117 78 observed observe VERB iajs-2007 117 79 and and CCONJ iajs-2007 117 80 model model NOUN iajs-2007 117 81 predicted predict VERB iajs-2007 117 82 values value NOUN iajs-2007 117 83 . . PUNCT iajs-2007 118 1 if if SCONJ iajs-2007 118 2 the the DET iajs-2007 118 3 value value NOUN iajs-2007 118 4 of of ADP iajs-2007 118 5 the the DET iajs-2007 118 6 test test NOUN iajs-2007 118 7 statistic statistic NOUN iajs-2007 118 8 is be AUX iajs-2007 118 9 more more ADJ iajs-2007 118 10 than than ADP iajs-2007 118 11 0.05 0.05 NUM iajs-2007 118 12 as as SCONJ iajs-2007 118 13 it it PRON iajs-2007 118 14 is be AUX iajs-2007 118 15 desired desire VERB iajs-2007 118 16 for for ADP iajs-2007 118 17 good good ADJ iajs-2007 118 18 fitting fitting ADJ iajs-2007 118 19 model model NOUN iajs-2007 118 20 , , PUNCT iajs-2007 118 21 we we PRON iajs-2007 118 22 accept accept VERB iajs-2007 118 23 the the DET iajs-2007 118 24 null null ADJ iajs-2007 118 25 hypothesis hypothesis NOUN iajs-2007 118 26 . . PUNCT iajs-2007 119 1 in in ADP iajs-2007 119 2 our our PRON iajs-2007 119 3 practical practical ADJ iajs-2007 119 4 study study NOUN iajs-2007 119 5 , , PUNCT iajs-2007 119 6 the the DET iajs-2007 119 7 h h NOUN iajs-2007 119 8 – – PUNCT iajs-2007 119 9 l l PRON iajs-2007 119 10 statistic statistic NOUN iajs-2007 119 11 has have VERB iajs-2007 119 12 0.244 0.244 NUM iajs-2007 119 13 as as SCONJ iajs-2007 119 14 it it PRON iajs-2007 119 15 is be AUX iajs-2007 119 16 shown show VERB iajs-2007 119 17 in in ADP iajs-2007 119 18 table table NOUN iajs-2007 119 19 7 7 NUM iajs-2007 119 20 . . PUNCT iajs-2007 120 1 this this PRON iajs-2007 120 2 ensures ensure VERB iajs-2007 120 3 that that SCONJ iajs-2007 120 4 our our PRON iajs-2007 120 5 model model NOUN iajs-2007 120 6 is be AUX iajs-2007 120 7 quite quite ADV iajs-2007 120 8 of of ADP iajs-2007 120 9 good good ADJ iajs-2007 120 10 fit fit NOUN iajs-2007 120 11 , , PUNCT iajs-2007 120 12 this this DET iajs-2007 120 13 preferable preferable ADJ iajs-2007 120 14 conclusion conclusion NOUN iajs-2007 120 15 indicates indicate VERB iajs-2007 120 16 that that SCONJ iajs-2007 120 17 there there PRON iajs-2007 120 18 are be VERB iajs-2007 120 19 no no DET iajs-2007 120 20 significant significant ADJ iajs-2007 120 21 differences difference NOUN iajs-2007 120 22 between between ADP iajs-2007 120 23 the the DET iajs-2007 120 24 observed observe VERB iajs-2007 120 25 and and CCONJ iajs-2007 120 26 predicted predict VERB iajs-2007 120 27 values value NOUN iajs-2007 120 28 . . PUNCT iajs-2007 121 1 3 3 X iajs-2007 121 2 ) ) PUNCT iajs-2007 121 3 in in ADP iajs-2007 121 4 addition addition NOUN iajs-2007 121 5 to to ADP iajs-2007 121 6 using use VERB iajs-2007 121 7 a a DET iajs-2007 121 8 goodness goodness NOUN iajs-2007 121 9 of of ADP iajs-2007 121 10 fit fit ADJ iajs-2007 121 11 statistic statistic NOUN iajs-2007 121 12 , , PUNCT iajs-2007 121 13 we we PRON iajs-2007 121 14 often often ADV iajs-2007 121 15 interest interest VERB iajs-2007 121 16 in in ADP iajs-2007 121 17 looking look VERB iajs-2007 121 18 at at ADP iajs-2007 121 19 the the DET iajs-2007 121 20 proportion proportion NOUN iajs-2007 121 21 of of ADP iajs-2007 121 22 outcomes outcome NOUN iajs-2007 121 23 we we PRON iajs-2007 121 24 have have AUX iajs-2007 121 25 managed manage VERB iajs-2007 121 26 to to PART iajs-2007 121 27 classify classify VERB iajs-2007 121 28 correctly correctly ADV iajs-2007 121 29 . . PUNCT iajs-2007 122 1 for for ADP iajs-2007 122 2 this this PRON iajs-2007 122 3 we we PRON iajs-2007 122 4 need need VERB iajs-2007 122 5 to to PART iajs-2007 122 6 look look VERB iajs-2007 122 7 at at ADP iajs-2007 122 8 the the DET iajs-2007 122 9 classification classification NOUN iajs-2007 122 10 table table NOUN iajs-2007 122 11 . . PUNCT iajs-2007 123 1 in in ADP iajs-2007 123 2 our our PRON iajs-2007 123 3 study study NOUN iajs-2007 123 4 , , PUNCT iajs-2007 123 5 81.5 81.5 NUM iajs-2007 123 6 % % NOUN iajs-2007 123 7 were be AUX iajs-2007 123 8 correctly correctly ADV iajs-2007 123 9 classified classified ADJ iajs-2007 123 10 for for ADP iajs-2007 123 11 the the DET iajs-2007 123 12 uninfected uninfected ADJ iajs-2007 123 13 group group NOUN iajs-2007 123 14 and and CCONJ iajs-2007 123 15 85.5 85.5 NUM iajs-2007 123 16 % % NOUN iajs-2007 123 17 for for ADP iajs-2007 123 18 the the DET iajs-2007 123 19 infected infected ADJ iajs-2007 123 20 group group NOUN iajs-2007 123 21 . . PUNCT iajs-2007 124 1 overall overall ADJ iajs-2007 124 2 83.5 83.5 NUM iajs-2007 124 3 % % NOUN iajs-2007 124 4 were be AUX iajs-2007 124 5 correctly correctly ADV iajs-2007 124 6 classified classified ADJ iajs-2007 124 7 . . PUNCT iajs-2007 125 1 this this PRON iajs-2007 125 2 indicates indicate VERB iajs-2007 125 3 a a DET iajs-2007 125 4 good good ADJ iajs-2007 125 5 performance performance NOUN iajs-2007 125 6 of of ADP iajs-2007 125 7 logistic logistic ADJ iajs-2007 125 8 regression regression NOUN iajs-2007 125 9 model model NOUN iajs-2007 125 10 . . PUNCT iajs-2007 126 1 references reference NOUN iajs-2007 126 2 1 1 NUM iajs-2007 126 3 . . PUNCT iajs-2007 126 4 agresti agresti PROPN iajs-2007 126 5 a. a. NOUN iajs-2007 126 6 an an DET iajs-2007 126 7 introduction introduction NOUN iajs-2007 126 8 to to ADP iajs-2007 126 9 categorical categorical ADJ iajs-2007 126 10 data datum NOUN iajs-2007 126 11 analyses analysis NOUN iajs-2007 126 12 . . PUNCT iajs-2007 127 1 ny ny PROPN iajs-2007 127 2 : : PUNCT iajs-2007 127 3 john john PROPN iajs-2007 127 4 wiley wiley PROPN iajs-2007 127 5 & & CCONJ iajs-2007 127 6 sons son NOUN iajs-2007 127 7 , , PUNCT iajs-2007 127 8 inc.new inc.new PROPN iajs-2007 127 9 york york PROPN iajs-2007 127 10 . . PUNCT iajs-2007 127 11 1996 1996 NUM iajs-2007 127 12 . . PUNCT iajs-2007 128 1 2 2 X iajs-2007 128 2 . . X iajs-2007 128 3 chater chater PROPN iajs-2007 128 4 jee jee PROPN iajs-2007 128 5 , , PUNCT iajs-2007 128 6 s. s. PROPN iajs-2007 128 7 ; ; PUNCT iajs-2007 128 8 hadi hadi PROPN iajs-2007 128 9 , , PUNCT iajs-2007 128 10 a. a. NOUN iajs-2007 128 11 regression regression NOUN iajs-2007 128 12 analysis analysis NOUN iajs-2007 128 13 by by ADP iajs-2007 128 14 example example NOUN iajs-2007 128 15 . . PUNCT iajs-2007 129 1 fourth fourth PROPN iajs-2007 129 2 edition edition NOUN iajs-2007 129 3 , , PUNCT iajs-2007 129 4 john john PROPN iajs-2007 129 5 wiley wiley PROPN iajs-2007 129 6 and and CCONJ iajs-2007 129 7 sons son NOUN iajs-2007 129 8 , , PUNCT iajs-2007 129 9 inc inc PROPN iajs-2007 129 10 . . PROPN iajs-2007 129 11 2006 2006 NUM iajs-2007 129 12 . . PUNCT iajs-2007 130 1 3 3 X iajs-2007 130 2 . . X iajs-2007 130 3 press press NOUN iajs-2007 130 4 , , PUNCT iajs-2007 130 5 j. j. PROPN iajs-2007 130 6 ; ; PUNCT iajs-2007 130 7 wilson wilson PROPN iajs-2007 130 8 , , PUNCT iajs-2007 130 9 s. s. PROPN iajs-2007 130 10 choosing choose VERB iajs-2007 130 11 between between ADP iajs-2007 130 12 logistic logistic ADJ iajs-2007 130 13 regression regression NOUN iajs-2007 130 14 and and CCONJ iajs-2007 130 15 discriminant discriminant ADJ iajs-2007 130 16 analysis analysis NOUN iajs-2007 130 17 . . PUNCT iajs-2007 131 1 journal journal NOUN iajs-2007 131 2 of of ADP iajs-2007 131 3 the the DET iajs-2007 131 4 american american ADJ iajs-2007 131 5 statistical statistical PROPN iajs-2007 131 6 association.1978 association.1978 PROPN iajs-2007 131 7 , , PUNCT iajs-2007 131 8 73 73 NUM iajs-2007 131 9 , , PUNCT iajs-2007 131 10 364 364 NUM iajs-2007 131 11 , , PUNCT iajs-2007 131 12 99 99 NUM iajs-2007 131 13 - - SYM iajs-2007 131 14 705 705 NUM iajs-2007 131 15 . . PUNCT iajs-2007 131 16 4 4 NUM iajs-2007 131 17 . . X iajs-2007 132 1 ahmed ahme VERB iajs-2007 132 2 , , PUNCT iajs-2007 132 3 l.a.using l.a.use VERB iajs-2007 132 4 logistic logistic ADJ iajs-2007 132 5 regression regression NOUN iajs-2007 132 6 in in ADP iajs-2007 132 7 determining determine VERB iajs-2007 132 8 the the DET iajs-2007 132 9 effective effective ADJ iajs-2007 132 10 variables variable NOUN iajs-2007 132 11 in in ADP iajs-2007 132 12 traffic traffic NOUN iajs-2007 132 13 accidents accident NOUN iajs-2007 132 14 . . PUNCT iajs-2007 133 1 applied apply VERB iajs-2007 133 2 mathematical mathematical ADJ iajs-2007 133 3 sciences science NOUN iajs-2007 133 4 . . PUNCT iajs-2007 134 1 2017 2017 NUM iajs-2007 134 2 , , PUNCT iajs-2007 134 3 11 11 NUM iajs-2007 134 4 , , PUNCT iajs-2007 134 5 42 42 NUM iajs-2007 134 6 , , PUNCT iajs-2007 134 7 20472058 20472058 NUM iajs-2007 134 8 . . PUNCT iajs-2007 135 1 5 5 X iajs-2007 135 2 . . X iajs-2007 135 3 kuha kuha PROPN iajs-2007 135 4 , , PUNCT iajs-2007 135 5 j. j. PROPN iajs-2007 135 6 ; ; PUNCT iajs-2007 135 7 mills mill NOUN iajs-2007 135 8 , , PUNCT iajs-2007 135 9 c. c. NOUN iajs-2007 135 10 on on ADP iajs-2007 135 11 group group NOUN iajs-2007 135 12 comparisons comparison NOUN iajs-2007 135 13 with with ADP iajs-2007 135 14 logistic logistic ADJ iajs-2007 135 15 regression regression NOUN iajs-2007 135 16 models model NOUN iajs-2007 135 17 . . PUNCT iajs-2007 136 1 a a DET iajs-2007 136 2 variable variable NOUN iajs-2007 136 3 in in ADP iajs-2007 136 4 lse lse PROPN iajs-2007 136 5 research research NOUN iajs-2007 136 6 online online NOUN iajs-2007 136 7 : : PUNCT iajs-2007 136 8 2017 2017 NUM iajs-2007 136 9 . . PUNCT