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Abstract Details

Activity Number: 243
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #305712
Title: Posterior Predictive Model Assessment for Incomplete Longitudinal Data
Author(s): Arkendu Chatterjee*+ and Michael Daniels
Companies: University of Florida and University of Florida
Address: 4100 SW 20th Avenue, Gainesville, FL, 32607, United States
Keywords: Posterior Predictive Distribution

We examine the operating characteristics of two approaches to assess model fit for incomplete longitudinal data. The first approach assesses fit based on replicated complete data as advocated in Gelman et al. (2005, Biometrics). The second approach assesses fit based on replicated observed data. Pros and cons of each approach are discussed and simulations and analytical results are presented that compare the power under each approach.

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