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

Abstract Details

Activity Number: 29
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #308283
Title: Posterior Predictive Loss for Model Selection in Incomplete Longitudinal Data
Author(s): Arkendu Sekhar Chatterjee*+ and Michael J. Daniels
Companies: University of Florida and University of Florida
Keywords: Model Choice ; Predictive Distribution ; Goodness-Of-Fit ; Penalty ; Moments ; Pattern Mixture

We explore the use of posterior predictive loss for model selection for incomplete longitudinal data. We show that a straightforward extension to incomplete data introduces an extra term (in addition to the goodness of fit and penalty terms) that compromises the criterion. We propose an alternative and explore its properties via simulations and on a real dataset.

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