Estimation of the bivariate cause-specific distribution function with doubly censored competing risks data

被引:1
|
作者
Shen, Pao-sheng [1 ]
机构
[1] Tunghai Univ, Dept Stat, Taichung 40704, Taiwan
关键词
Cause-specific distribution; Competing risk models; Left censoring; MAXIMUM-LIKELIHOOD ESTIMATORS; KAPLAN-MEIER ESTIMATE; SURVIVAL FUNCTION; SELF-CONSISTENT; SAMPLE; BOOTSTRAP; PLANE;
D O I
10.1016/j.jspi.2011.02.013
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we consider estimating the bivariate cause-specific distribution function when both components are subject to double censoring. We propose two types of estimators as generalizations of the Dabrowska and Campbell and Foldes estimators. The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators. (C) 2011 Elsevier B.V. All rights reserved.
引用
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页码:2614 / 2621
页数:8
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