报告人：蔡敬衡副教授

        中山大学数学与计算科学学院

报告题目：Analysis of Proportional Mean Residual Life Model with Latent Variables

报告时间：2016年12月02日10:00

报告地点：海韵行政楼B313

联系人：胡杰助理教授

报告摘要：

End-stage renal disease (ESRD) is one of the most serious diabetes complications. Numerous studies have been devoted to revealing the risk factors of the onset time of ESRD. In this article, we propose a proportional mean residual life (MRL) model with latent variables to assess the effects of observed and latent risk factors on MRL function of ESRD in a cohort of Chinese type 2 diabetic patients. The proposed model generalizes conventional proportional MRL model to accommodate the latent risk factor that cannot be measured by a single observed variable. We employ a factor analysis model to characterize the latent risk factors via multiple observed variables. We develop a borrow-strength estimation procedure, which incorporates the expectation--maximization algorithm and an extended estimating equation approach. The asymptotic properties of the proposed estimators are established. Simulation shows that the performance of the proposed methodology is satisfactory. The application to the study of type 2 diabetes reveals insights into the prevention of ESRD.

报告人简介：蔡敬衡博士毕业于香港中文大学统计系，获颁哲学博士学位。现就职于中山大学数学与计算科学学院，任副教授。主要研究领域为结构方程模型的分析及应用，贝叶斯分析，统计计算等。

欢迎广大师生参加！