Bayesian survival analysis using a MARS model

被引：9
|
作者：
Mallick, BK [1 ]
Denison, DGT
Smith, AFM
机构：
[1] Texas A&M Univ, Dept Stat, College Stn, TX 77843 USA
[2] Univ London Imperial Coll Sci Technol & Med, Dept Math, London SW7 2BZ, England
[3] Univ London Queen Mary & Westfield Coll, London E1 4NS, England
来源：
BIOMETRICS | 1999年 / 55卷 / 04期
关键词：
Bayesian methods; hazard regression; multivariate adaptive regression splines; reversible jump Markov chain Monte Carlo; stochastic search;
D O I：
10.1111/j.0006-341X.1999.01071.x
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve.
引用
收藏
页码：1071 / 1077
页数：7
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