Joint modeling and estimation for longitudinal data with informative observation and terminal event times

被引：0

作者：

Du, Ting ^{[1
]}

Ding, Jieli ^{[2
]}

Sun, Liuquan ^{[1
]}

机构：

[1] Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China

[2] Wuhan Univ, Sch Math & Stat, Wuhan, Hubei, Peoples R China

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2016年 / 45卷 / 22期

基金：

中国国家自然科学基金;

关键词：

Estimating equations; Informative observation times; Joint modeling; Latent variables; Longitudinal data; Terminal event; DEPENDENT FOLLOW-UP; REGRESSION-ANALYSIS; RECURRENT;

D O I：

10.1080/03610926.2014.960589

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 many longitudinal studies, there may exist informative observation times and a dependent terminal event that stops the follow-up. In this paper, we propose a joint model for analysis of longitudinal data with informative observation times and a dependent terminal event via two latent variables. Estimation procedures are developed for parameter estimation, and asymptotic properties of the proposed estimators are derived. Simulation studies demonstrate that the proposed method performs well for practical settings. An application to a bladder cancer study is illustrated.

引用

页码：6521 / 6539

页数：19

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