Abstract #302253

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JSM 2003 Abstract #302253
Activity Number: 29
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #302253
Title: The Effect of Link Misspecification on Correlated Binary Regression
Author(s): Ayrin C. Molefe*+
Companies: University of Central Arkansas
Address: 1365 Windstorm Dr., Conway, AR, 72034-6747,
Keywords: GEE ; correlated binary data ; link misspecification
Abstract:

When the marginal mean model in the Generalized Estimating Equations (GEE) approach is misspecified, the resulting regression parameter estimates become biased. In correlated binary regresssion, a misspecified mean model could arise from an incorrect link function. In practice, the logit link is often assumed for binary data. This paper quantifies through simulation studies the small-sample effects of an incorrectly specified logit link on the regression parameters and predicted probabilities. The bias and mean squared error of the GEE parameter estimates and predicted probabilites will be determined under different true link functions, samples sizes, degrees of dependence, and working correlations.

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