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An Overview of Precedence‐Type Tests for Censored Data

 

作者: S. Chakraborti,   P. Van Der Laan,  

 

期刊: Biometrical Journal  （WILEY Available online 1997）
卷期: Volume 39, issue 1  

页码: 99-116

 

ISSN:0323-3847

 

年代: 1997

 

DOI:10.1002/bimj.4710390110

 

出版商: WILEY‐VCH Verlag

 

关键词: Nonparametric;Quantiles;Survival analysis;Kaplan‐Meier estimator;Two‐sample problems;K‐sample problems;Restricted alternatives;P‐P plot;Asymptotic relative efficiency

 

数据来源: WILEY

 

摘要:

AbstractPrecedence 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 p

 

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