An overview of precedence-type tests for censored data

被引：16
作者：
Chakraborti, S
vanderLaan, P
机构：
[1] UNIV ALABAMA, DEPT MANAGEMENT SCI & STAT, APPL STAT PROGRAM, TUSCALOOSA, AL 35487 USA
[2] EINDHOVEN UNIV TECHNOL, DEPT MATH & COMP SCI, NL-5600 MB EINDHOVEN, NETHERLANDS
来源：
BIOMETRICAL JOURNAL | 1997年 / 39卷 / 01期
关键词：
nonparametric; quantiles; survival analysis; Kaplan-Meier estimator; two-sample problems; K-sample problems; restricted alternatives; P-P plot; asymptotic relative efficiency;
D O I：
10.1002/bimj.4710390110
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Precedence tests are simple yet robust nonparametric procedures useful for comparing two or more distributions. In this paper precedence-type tests are considered when the data contain some censored observations. Generalizing the precedence statistic for uncensored data, the precedence tests for,censored data are based on the Kaplan-Meier estimators of the respective distribution functions and the corresponding quantile functions. The literature is reviewed for some two-sample as well as some multi-sample problems.
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收藏
页码：99 / 116
页数：18
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