A Bayesian Analysis in the Presence of Covariates for Multivariate Survival Data: An example of Application

被引：0
|
作者：
Santos, Carlos Aparecido [1 ]
Achcar, Jorge Alberto [2 ]
机构：
[1] Univ Estadual Maringa, Ctr Ciencias Exatas, Dept Estat, Maringa, Parana, Brazil
[2] Univ Sao Paulo, Fac Med Ribeirao Preto, Dept Med Social, BR-14049 Ribeirao Preto, SP, Brazil
来源：
REVISTA COLOMBIANA DE ESTADISTICA | 2011年 / 34卷 / 01期
关键词：
Bayesian methods; Bivariate distribution; MCMC methods; Survival distribution; Weibull distribution; REGRESSION; MODELS;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this paper, we introduce a Bayesian analysis for survival multivariate data in the presence of a covariate vector and censored observations. Different "frailties" or latent variables are considered to capture the correlation among the survival times for the same individual. We assume Weibull or generalized Gamma distributions considering right censored lifetime data. We develop the Bayesian analysis using Markov Chain Monte Carlo (MCMC) methods.
引用
收藏
页码：111 / 131
页数：21
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