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Activity Number: 452
Type: Contributed
Date/Time: Wednesday, August 6, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #312019 View Presentation
Title: A Marginalized Zero-Inflated Poisson Regression Model with Random Effects
Author(s): D. Leann Long*+ and John Preisser and Amy Herring and Carol Golin
Companies: West Virginia University and University of North Carolina and University of North Carolina at Chapel Hill and University of North Carolina at Chapel Hill
Keywords: marginalized models ; repeated measures ; unprotected intercourse ; zero-inflation
Abstract:

Public health research often concerns relationships between exposures and correlated count outcomes. When counts exhibit more zeros than expected under Poisson sampling, the zero-inflated Poisson (ZIP) model with random effects may be used. However, the latent class formulation of the ZIP model can make marginal inference on the sampled population challenging. This article presents a marginalized ZIP model with random effects to directly model the population mean, providing straightforward inference for overall exposure effects. Simulations evaluate finite sample properties, and a motivational interviewing-based safer sex intervention trial, designed to reduce the number of unprotected sexual acts, illustrates the new methods.


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