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Activity Number: 243 - Statistics in Sports and Beyond
Type: Contributed
Date/Time: Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
Sponsor: International Chinese Statistical Association
Abstract #318178
Title: Testing Zero Inflation in Marginal Poisson Regression Models for Longitudinal Data
Author(s): Hua He* and Wan Tang and Tingjie Zhao
Companies: Tulane Univesrity and Tulane Univesrity and Tulane University
Keywords: zero inflation; Poisson regression model; Generalized Estimating Equation; Marginal model; statistical test; longitudinal data

Marginal model is a popular approach for longitudinal data. For count responses with preponderance of zeros, marginal zero-inflated models may be applied. In this talk, we develop a test for zero-inflation, or more generally, zero modification, for marginal Poisson regression models for longitudinal data. Without specification of zero-inflated Poisson models, we develop our test based on the generalized estimating equation (GEE) methodology. The performance of the test in terms of type I errors and power are evaluated by simulation studies. The results show that the test statistic performs well under a wide range of conditions. The test is illustrated with a real data example

Authors who are presenting talks have a * after their name.

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