Using Weibull mixture distributions to model heterogeneous survival data

被引：22

作者：

Marín, JM

Rodríguez-Bernal, MT

Wiper, MP

机构：

[1] Univ Carlos III Madrid, Dept Estadist, Madrid 28903, Spain

[2] Univ Autonoma Madrid, Dept Matemat, Madrid, Spain

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2005年 / 34卷 / 03期

关键词：

Bayesian; MCMC; mixtures; survival analysis; Weibull;

D O I：

10.1081/SAC-200068372

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 article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right-censored survival data. This is done using the recently developed, birth-death MCMC algorithm. We also show how to estimate the survivor function and the expected hazard rate from the MCMC output.

引用

页码：673 / 684

页数：12

共 19 条

[1] Time-dependent hazard ratio: Modeling and hypothesis testing with application in lupus nephritis [J].