Theme: Joint Analysis of Longitudinal Data with Informative Observation and Terminal Event Times
Time: 15:00 on March 16, 2017
Location: Rm.103, Statistics Building, Minhang Campus, East China Normal University
Abstract：
In many longitudinal studies, the response process is often correlated with observation times. Also, there may exist a dependent terminal event such as death that stops the follow-up. In this talk, we discuss some joint models for 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 proposed estimators are derived. The finite sample properties of the proposed estimators are examined through simulation studies. Some applications are provided.
