JSM 2004 - Toronto

Abstract #302093

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Activity Number: 436
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #302093
Title: A Piecewise Linear Generalized Poisson Regression Model for Longitudinal Data
Author(s): John C. Kern, II*+
Companies: Duquesne University
Address: 600 Forbes Ave., Pittsburgh, PA, 15282,
Keywords: overdispersion ; underdispersion ; generalized Poisson ; piecewise linear
Abstract:

We apply a piecewise linear generalized Poisson regression model to logitudinal frequency data collected from subjects randomly allocated among experimental groups. Bayesian inference on the parameters of this model--which include the knot locations of the piecewise regression curve--is conducted using MCMC techniques. Use of the generalized Poisson distribution allows for application to overdispersed or underdispersed data. We fit this model using data from a clinical trial examining the effectiveness of acupuncture as a treatment for menopausal symptoms.


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