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Joint modeling and estimation for longitudinal data with informative observation and terminal event times
Du, Ting1; Ding, Jieli2; Sun, Liuquan1
2016
发表期刊COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN0361-0926
卷号45期号:22页码:6521-6539
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.
关键词Estimating equations Informative observation times Joint modeling Latent variables Longitudinal data Terminal event
DOI10.1080/03610926.2014.960589
语种英语
资助项目National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11171330] ; National Natural Science Foundation of China[11101314] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; BCMIIS
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000383559000003
出版者TAYLOR & FRANCIS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/23886
专题应用数学研究所
通讯作者Du, Ting
作者单位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
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Du, Ting,Ding, Jieli,Sun, Liuquan. Joint modeling and estimation for longitudinal data with informative observation and terminal event times[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2016,45(22):6521-6539.
APA Du, Ting,Ding, Jieli,&Sun, Liuquan.(2016).Joint modeling and estimation for longitudinal data with informative observation and terminal event times.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,45(22),6521-6539.
MLA Du, Ting,et al."Joint modeling and estimation for longitudinal data with informative observation and terminal event times".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 45.22(2016):6521-6539.
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