Cox and Frailty Models for Analysis of Esophageal Cancer Data
نویسندگان
چکیده مقاله:
By existing censor and skewness in survival data, some models such as weibull are used to analyzing survival data. In addition, parametric and semiparametric models can be obtained from baseline hazard function of Cox model to fit to survival data. However these models are popular because of their simple usage but do not consider unknown risk factors, that's why cannot introduce the best fit to the data necessarily. In this paper by considering multiple random effects in Cox model, frailty models are introduced. Then using presented models, esophageal cancer data in Golestan were modeled and fitted models were evaluated and compared based on generalized coefficient of determination criterion.
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عنوان ژورنال
دوره 21 شماره 1
صفحات 57- 64
تاریخ انتشار 2016-09
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