主 题: Doubly robust estimation for the analysis of longitudinal studies with missing data
报告人: Prof.Xiaohua Zhou (University of Washington)
时 间: 2009-12-22 上午9:00 - 10:00
地 点: 理科一号楼 1490
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
.
