Understanding the Cox regression models with time-change covariates

被引：34
|
作者：
Zhou, M [1 ]
机构：
[1] Univ Kentucky, Dept Stat, Lexington, KY 40506 USA
来源：
AMERICAN STATISTICIAN | 2001年 / 55卷 / 02期
关键词：
arbitrary baseline hazard; S-Plus code; simulation;
D O I：
10.1198/000313001750358491
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 Cox regression model is a cornerstone of modem survival analysis and is widely used in many other fields as well. But the Cox models with time-change covariates are not easy to understand or visualize. We therefore offer a simple and easy-to-understand interpretation of the (arbitrary) baseline hazard and time-change covariate. This interpretation also provides a way to simulate variables that follow a Cox model with arbitrary baseline hazard and time-change covariate.
引用
收藏
页码：153 / 155
页数：3
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