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  • 统计与管理学院2017年学术报告第56

     

    【主  题】A New Joint Model for Analyzing Longitudinal Data with Informative Observation and Terminal Event Times

    【报告人】孙六全

    中科院数学与系统科学研究院研究员

    【时  间】 2017年8月18日(星期五)16:50-17:35

    【地  点】 上海财经大学统计与管理学院大楼1316室

    【摘 要】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 develop a new joint model for analyzing 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. An application is provided.