报告题目：Regression analysis of additive hazards model with latent variables

报 告 人：宋心远（香港中文大学统计学系教授）

时   间：2015年6月18日（周四）下午3:15

地   点：江宁励学楼A213

主办单位：理学院

ABSTRACT：

　　We propose an additive hazards model with latent variables to investigate the observed and latent risk factors of the failure time of interest. Each latent risk factor is characterized by correlated observed variables through a confirmatory factor analysis model. We develop a hybrid procedure that combines the EM algorithm and the borrow-strength estimation approach to estimate the model parameters. The consistency and asymptotic normality of the parameter estimators are established. Various nice features including finite sample performance of the proposed methodology are demonstrated by simulation studies. Our model is applied to a study concerning the risk factors of chronic kidney disease for type 2 diabetic patients.

　　宋心远，香港中文大学统计学系教授。主要研究方向为Latent variable models、Bayesian method、Statistical computing、Survival analysis、Statistical diagnostics等。在国际杂志上发表专业学术论文一百多篇，著有英文学术专著一本。主要社会兼职有Assistant Dean (Research) of Faculty of Science, CUHK、Graduate Division Head of Department of Statistics, CUHK、中国现场统计研究会资源与环境分会常务理事等。担任Psychometrika，Biometrics，Structural Equation Modeling，CSDA等专业学术刊物的副编辑。