统计与管理学院2016年学术报告第4期
【主 题】Time-varying latent model for longitudinal data with informative observation and terminal event times
【报告人】 孙六全
中国科学院
【时 间】 2016年3月18日（星期五）16:00－17:00
【地 点】 上海财经大学统计与管理学院大楼1208室
【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. In this article, 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.
【邀请人】 尤进红
