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A Comparison of Survival Function Estimators in the Koziol–Green Model

 

作者: Pawlitschko Jörg,  

 

期刊: Statistics  (Taylor Available online 1999)
卷期: Volume 32, issue 3  

页码: 277-291

 

ISSN:0233-1888

 

年代: 1999

 

DOI:10.1080/02331889908802668

 

出版商: Taylor & Francis Group

 

关键词: Primary: 62N05;62G05;Secondary: 62G20;Random censoring;Koziol–Green model;Kaplan–Meier estimator;ACL estimator;Ebrahimi's estimator

 

数据来源: Taylor

 

摘要:

In this paper, three competing survival function estimators are compared under the assumptions of the so-called Koziol– Green model, which is a simple model of informative random censoring. It is shown that the model specific estimators of Ebrahimi and Abdushukurov, Cheng, and Lin are asymptotically equivalent. Further, exact expressions for the (noncentral) moments of these estimators are given, and their biases are analytically compared with the bias of the familiar Kaplan–Meier estimator. Finally, MSE comparisons of the three estimators are given for some selected rates of censoring.

 

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