Date: 2013-02-22

Time: 14:30-15:30

Location: CRM, Université de Montréal, Pav. André-Ainsenstadt, salle 1360

Abstract:

In this talk, we first provide an overview of issues arising from and methods dealing with complex survey data in the presence of missing observations, with a major focus on the estimating equation approach for analysis and imputation methods for missing data. We then propose a semiparametric fractional imputation method for handling item nonresponses, assuming certain baseline auxiliary variables can be observed for all units in the sample. The proposed strategy combines the strengths of conventional single imputation and multiple imputation methods, and is easy to implement even with a large number of auxiliary variables available, which is typically the case for large scale complex surveys. Simulation results and some general discussion on related issues will also be presented.

This talk is based partially on joint work with Jiahua Chen of University of British Columbia and Jaekwang Kim of Iowa State University.

Speaker

Changbao Wu, University of Waterloo