Estimation of the Bivariate Cause-Specific Distribution Function with Left-Truncated Competing Risks Data

被引：1

作者：

Shen, Pao-Sheng ^{[1
]}

机构：

[1] Tunghai Univ, Dept Stat, Taichung 40704, Taiwan

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2012年 / 41卷 / 01期

关键词：

Cause-specific distribution; Competing risk models; Random truncation; SURVIVAL FUNCTION; NONPARAMETRIC-ESTIMATION; COVARIANCE;

D O I：

10.1080/03610918.2011.582563

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 left truncation and right censoring. Based on the estimators proposed by Shen and Yan (2008), we propose two types of estimators as the extension of Sankaran et al. (2006). The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators.

引用

页码：99 / 110

页数：12

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