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Analyzing Longitudinal Data with Informative Observation and Terminal Event Times
Miao, Rui; Chen, Xin; Sun, Liu-quan
2016-10-01
发表期刊ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES
ISSN0168-9673
卷号32期号:4页码:1035-1052
摘要Longitudinal data often arise when subjects are followed over a period of time, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. In this article, we propose joint modeling and analysis of longitudinal data with possibly informative observation times and a dependent terminal event in which a common subject-specific latent variable is used to characterize the correlations. A borrow-strength estimation procedure is developed for parameter estimation, and both large-sample and finite-sample properties of the proposed estimators are established. In addition, some goodness-of-fit methods for assessing the adequacy of the model are provided. An application to a bladder cancer study is illustrated.
关键词borrow-strength method frailty model informative observation times joint modeling longitudinal data terminal event
DOI10.1007/s10255-016-0624-3
语种英语
资助项目National Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11171330] ; Key Laboratory of RCSDS, CAS[2008DP173182]
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000387481600021
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/24140
专题应用数学研究所
通讯作者Sun, Liu-quan
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Miao, Rui,Chen, Xin,Sun, Liu-quan. Analyzing Longitudinal Data with Informative Observation and Terminal Event Times[J]. ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,2016,32(4):1035-1052.
APA Miao, Rui,Chen, Xin,&Sun, Liu-quan.(2016).Analyzing Longitudinal Data with Informative Observation and Terminal Event Times.ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES,32(4),1035-1052.
MLA Miao, Rui,et al."Analyzing Longitudinal Data with Informative Observation and Terminal Event Times".ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES 32.4(2016):1035-1052.
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