Gamma frailty models for bivariate survival data

被引:23
作者
Hanagal, David D. [1 ]
Pandey, Arvind [1 ]
机构
[1] Univ Pune, Dept Stat, Pune 411007, Maharashtra, India
关键词
Bayesian model comparison; copula; gamma frailty; generalized log-logistic distribution; generalized Weibull distribution; MCMC; shared frailty; HETEROGENEITY; DISTRIBUTIONS; ASSOCIATION;
D O I
10.1080/00949655.2014.958086
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we introduce the shared gamma frailty models with two different baseline distributions namely, the generalized log-logistic and the generalized Weibull. We introduce the Bayesian estimation procedure to estimate the parameters involved in these models. We present a simulation study to compare the true values of the parameters with the estimated values. We apply these models to a real-life bivariate survival data set of McGilchrist and Aisbett related to the kidney infection data and a better model is suggested for the data.
引用
收藏
页码:3172 / 3189
页数:18
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