id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cuesj-734	Hameed, Hevi J.; Faqe, Mohammad M.	Apply Parametric Shared Frailty Models to Colorectal Cancer Patients	2022	6	.pdf	application/pdf	4504	177	55	Where ij ij ij t ilogt z U� � � �µ β σ/ (15) H0 (.), S0 (.) are and survival function of ∈ij espectively, and β refers to the covariate coefficient’s vector associated with the covariates vector zij measured in the jth event of ith subject.[10] Model Assessment We employed Akaike Information Criterion (AIC) in addition to Bayesian Information Criterion (BIC) to compare and select the efficient model among parametric AFT models without frailty with three distributions as baseline and those AFT models with two different shared frailty model (Gamma and Inverse Gaussian). The no frailty model AFT models are discussed without taking frailty into account, while, in shared frailty, model survival models are analyzed using frailty effects.	cache/cuesj-734.pdf	txt/cuesj-734.txt