Changbao Wu (University of Waterloo)

Le vendredi 22 février 2013 / Friday, February 22, 2013

Analysis of Complex Survey Data with Missing Observations

RESUME / 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.


Salle / Room 1360
Centre de recherches mathématiques
Pavillon André-Aisenstadt
Université de Montréal
2920, chemin de la Tour

14h30 / 2:30 p.m.