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  • 统计与管理学院2017年学术报告第5

     

    【主  题】Additive mean residual life model with latent variables under right censoring

    【报告人】 孙六全 研究员

    中国科学院

    【时  间】 2017年03月17日(星期五)13:30-14:30

    【地  点】 上海财经大学统计与管理学院大楼1208室

    【摘  要】We propose a novel additive mean residual life model to examine the effects of observable and latent risk factors on the mean residual life function of interest in the presence of right censoring. We use the factor analysis to characterize the latent risk factors on the basis of multiple observed variables. We develop a borrow-strength estimation procedure that incorporates asymptotically distribution-free generalized least square method and corrected estimating equation approach. We establish the asymptotic properties of the proposed estimators. We develop a goodness-of-fit test for model checking. We conduct simulations to evaluate the finite sample performance of the proposed method. The application to the study on chronic kidney disease for type 2 diabetic patients reveals insights into the prevention of such common diabetic complication.

    【邀请人】周勇