Colloquium on Friday, April 20, 2012
Speaker: Dr. Xuemao Zhang, Department of Mathematical Sciences, Lakehead University
Title: Bias-corrected GEE Estimation for Longitudinal Data
Time: Friday, April 20, 2012, 3:30 pm - 4:30 pm
Room: RB 2024
Abstract: Generalized estimating equations (GEE) is a widely used method to
estimate marginal regression parameters for correlated responses. The advantage
estimate marginal regression parameters for correlated responses. The advantage
of the GEE is that the estimates of the regression parameters are asymptotically
unbiased even if the correlation structure is misspecified, although their small
sample properties are not known. In this paper, two bias adjusted GEE estimators
of the regression parameters in longitudinal data are proposed when the sample
size is small. One of these is based on bias correction and the other is based on
a bias reduction. Simulations show that both methods do well in reducing bias.
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