This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 256
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #308838
Title: Comparison of Longitudinal Analyses of Binary Outcome Data: Marginal Models vs. Generalized Linear Mixed Models
Author(s): Qian Dong*+
Companies: Merck Sharp & Dohme Corp.
Address: 126 E. Lincoln Ave. , Rahway, NJ, 07065,
Keywords: Longitudinal analysis ; Binary data ; marginal model ; generalized linear mixed model

Marginal models and generalized linear mixed models are two general approaches for longitudinal analysis of binary outcome data. Inferences that can be made from these two approaches can give discernibly different results; the marginal models focus on inferences about population averages while the mixed models focus on inferences about individuals. In this presentation, extensive simulation studies were conducted in a series of hypothetical lipid lowering trials with two treatment arms and a wide range of parameter settings in terms of the proportions of patients attaining the lipid goal and the true underlying treatment effect. We then compare and summarize the impacts of these parameters on the effect estimates by using these two approaches.

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