Identifiability conditions for covariate effects model on survival times under informative censoring

被引：8

作者：

Ding, A. Adam ^{[1
]}

机构：

[1] Northeastern Univ, Dept Math, Boston, MA 02115 USA

来源：

STATISTICS & PROBABILITY LETTERS | 2010年 / 80卷 / 11-12期

关键词：

Archimedean copula; Artificial censoring; Dependent censoring; SEMICOMPETING RISKS DATA; SEMIPARAMETRIC ANALYSIS; REGRESSION-ANALYSIS; RECURRENT; EVENTS;

D O I：

10.1016/j.spl.2010.01.027

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：

We provide the identifiability conditions for the covariate effects modeling of bivariate survival data when one survival time is dependently censored by the other survival time. The covariate effects are specified through three components of the copula decomposition. Many commonly used copula families are shown to satisfy the identifiable condition. A condition for causal interpretation is also provided. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：911 / 915

页数：5

共 16 条

[1]

[Anonymous], 2006, An introduction to copulas

[2] Estimating survival under a dependent truncation [J].