* * * * * Please Note Unusual Time and Place * * * * * *
 
 
Statistics Seminar
 
Statistical Laboratory
Iowa State University
 
DATE AND TIME: Thursday, April 6, 2006, 2:10 p.m.
 
PLACE: 1160 Sweeney
 
SPEAKER: Dong Wang, Department of Statistics, Iowa State University
                                   
TITLE: Nonparametric Imputation of Missing Values for Estimating Equation Based Inference
 
ABSTRACT
 
We propose a nonparametric imputation procedure for data with missing values and establish an empirical likelihood inference for parameters defined by general estimating equations.  The imputation is carried out multiple times via a nonparametric estimator of the conditional distribution of the missing variable given the always observable variable.  The empirical likelihood is used to construct a profile likelihood for the parameter of interest.  We demonstrate that the proposed nonparametric imputation can remove the selection bias in the missingness and empirical likelihood leads to more efficient parameter estimation. The proposed method is evaluated by simulation and an empirical study on the relationship between eye weight and gene transcriptional abundance of recombinant inbred mice.
 
Seminar schedules and abstracts are available via WWW:  http://www.stat.iastate.edu/

Jeanette La Grange
Department of Statistics
102 Snedecor
Iowa State University
Ames, IA  50010-1210
515 294-3440 (office)
515 294-4040 (fax)
http://www.stat.iastate.edu/directory/staff/jeanette.html