12月11日(周五),特聘教授周晓华将在我院做学术报告,欢迎我院师生参加。
时间
12月11日(周五)下午4:00
地点
明德主楼1030
题目
Doubly robust estimation for the analysis of longitudinal studies with missing data
摘要
Xiao-Hua Zhou
Professor, Department of Biostatistics, University of Washington
Director, Biostatistics Unit, U.S. Department of Veterans Affairs Seattle Medical Center
Longitudinal studies often feature incomplete response and covariate data. Likelihood based method such as EM algorithm gives consistent estimators when data are missing at random provided that the response model and the missing covariate model are correctly specified. In this talk I introduce a doubly robust estimation method for longitudinal data with missing response and missing covariate when data are missing at random. This method is appealing in that it can provide consistent estimates if either the missing data model or the missing covariate model is correctly specified. Simulation studies demonstrate that this method performs well in a variety of situations. This is a joint work with Baojing Chen at University of Washington.