A Bayesian bivariate failure time regression model

被引：6
|
作者：
Damien, P
Muller, P
机构：
[1] Duke Univ, ISDS, Durham, NC 27708 USA
[2] Univ Michigan, Sch Business, Ann Arbor, MI 48109 USA
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1998年 / 28卷 / 01期
关键词：
Gumbel distribution; Gibbs sampling; correlation; failure time; hazard rate; covariates;
D O I：
10.1016/S0167-9473(98)00022-X
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 model bivariate failure rime data under the assumption that the two random quantities corresponding to each of the failure times are dependent. We extend the analysis from a bivariate Gumbel model by regressing the log marginal hazard rate against context-motivated covariates. Illustrative analyses using data from electrical treeing and cancer relapse times are exemplified using Markov chain Monte Carlo methods. (C) 1998 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：77 / 85
页数：9
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