Title (题目): Regression analysis of additive hazards model with latent variables
Time (时间): 2015/11/2(星期一), 16:00-17:00
Location (地点): 伟清楼209（统计学研究中心会议室）
Speaker (报告人): 孙六全，中国科学院数学与系统科学研究院
Abstract (摘要):
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.
About the speaker (报告人介绍):
孙六全研究员1998年于北京大学获博士学位。同年，进入中国科学院数学与系统科学研究院应用数学所从事博士后研究，并历任助理研究员、副研究员和研究员等职务。孙六全研究员在生存分析、生物与医学统计、复发事件和纵向数据的统计推断、不完全观察数据的统计分析等领域做出了一系列重要学术成果，在国际顶级统计学期刊发表了大量高水平学术论文。2008年，获中国科学院数学与系统科学研究院突出科研成果奖。他还是中国概率统计学会的副理事长。