Semiparametric accelerated failure time model for the analysis of right censored data

被引：7
|
作者：
Jin, Zhezhen [1 ]
机构：
[1] Columbia Univ, Dept Biostat, 722 W 168th St, New York, NY 10032 USA
来源：
COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | 2016年 / 23卷 / 06期
关键词：
accelerated failure time model; Buckley-James estimator; censored data; estimating function; Gehan-type estimator; induced smoothing; weighted logrank-type estimator;
D O I：
10.5351/CSAM.2016.23.6.467
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：
The accelerated failure time model or accelerated life model relates the logarithm of the failure time linearly to the covariates. The parameters in the model provides a direct interpretation. In this paper, we review some newly developed practically useful estimation and inference methods for the model in the analysis of right censored data.
引用
收藏
页码：467 / 478
页数：12
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