Proportional hazards regression under progressive Type-II censoring

被引：0
|
作者：
Sergio Alvarez-Andrade
N. Balakrishnan
Laurent Bordes
机构：
[1] Université de Technologie de Compiègne,Laboratoire de Mathématiques Appliquées de Compiègne
[2] McMaster University,Department of Mathematics and Statistics
[3] Université de Pau et des Pays de l’Adour,Laboratoire de Mathématiques et Applications, UMR CNRS 5142
来源：
Annals of the Institute of Statistical Mathematics | 2009年 / 61卷
关键词：
Counting processes; Martingales; Order statistics; Progressive censoring; Proportional hazards model; Reliability; Semiparametric;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes an inferential method for the semiparametric proportional hazards model for progressively Type-II censored data. We establish martingale properties of counting processes based on progressively Type-II censored data that allow to derive the asymptotic behavior of estimators of the regression parameter, the conditional cumulative hazard rate functions, and the conditional reliability functions. A Monte Carlo study and an example are provided to illustrate the behavior of our estimators and to compare progressive Type-II censoring sampling plans with classical Type-II right censoring sampling plan.
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页码：887 / 903
页数：16
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