Statistics review 12: Survival analysis

被引：346

作者：

Bewick, V ^{[1
]}

Cheek, L

Ball, J

机构：

[1] Univ Brighton, Sch Comp Math & Informat Sci, Brighton, E Sussex, England

[2] Liverpool Hosp, ICU, Sydney, NSW, Australia

来源：

CRITICAL CARE | 2004年 / 8卷 / 05期

关键词：

Cox's proportional-hazards model; cumulative hazard function H(t); hazard ratio; Kaplan-Meier method; log rank test; survival function S(t);

D O I：

10.1186/cc2955

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

This review introduces methods of analyzing data arising from studies where the response variable is the length of time taken to reach a certain end-point, often death. The Kaplan-Meier methods, log rank test and Cox's proportional hazards model are described.

引用

页码：389 / 394

页数：6