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Time-varying latent model for longitudinal data with informative observation and terminal event times

Time-varying latent model for longitudinal data with informative observation and terminal event times
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摘要 Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparametric mixed effect model with time-varying latent effects in the analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided. Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparametric mixed effect model with time-varying latent effects in the analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided.
出处 《Science China Mathematics》 SCIE CSCD 2016年第12期2393-2410,共18页 中国科学:数学(英文版)
基金 supported by National Natural Science Foundation of China (Grant Nos. 11231010, 11171330 and 11201315) Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences (Grant No. 2008DP173182) Beijing Center for Mathematics and Information Interdisciplinary Sciences
关键词 estimating equations informative observation times joint modeling longitudinal data terminal event time-varying effect 估计方程;增进知识的观察时间;联合建模;纵的数据;终端事件;变化时间的效果;
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