Comparison of Multiple Hazard Rate Functions

被引：18

作者：

Chen, Zhongxue ^{[1
]}

Huang, Hanwen ^{[2
]}

Qiu, Peihua ^{[3
,4
]}

机构：

[1] Indiana Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, 1025 E 7th St, Bloomington, IN 47405 USA

[2] Univ Georgia, Coll Publ Hlth, Dept Epidemiol & Biostat, Athens, GA 30602 USA

[3] Univ Florida, Coll Publ Hlth, Dept Biostat, Gainesville, FL 32611 USA

[4] Univ Florida, Hlth Profess & Coll Med, Gainesville, FL 32611 USA

来源：

BIOMETRICS | 2016年 / 72卷 / 01期

关键词：

Asymptotically independent; Counting process; Crossing; Survival data; WEIGHTED Z-TEST; COMBINING PROBABILITIES; SURVIVAL-DATA; TESTS;

D O I：

10.1111/biom.12412

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Many robust tests have been proposed in the literature to compare two hazard rate functions, however, very few of them can be used in cases when there are multiple hazard rate functions to be compared. In this article, we propose an approach for detecting the difference among multiple hazard rate functions. Through a simulation study and a real-data application, we show that the new method is robust and powerful in many situations, compared with some commonly used tests.

引用

页码：39 / 45

页数：7

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