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Activity Number: 202
Type: Contributed
Date/Time: Monday, July 30, 2007 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #310396
Title: Bayesian Analysis of Incomplete Data in Crossover Trials
Author(s): Sanjib Basu*+
Companies: Northern Illinois University
Address: Div of Statistics, De Kalb, IL, 60564,
Keywords: incomplete data ; crossover trial ; model comparison
Abstract:

Crossover designs are common in early phases of clinical trials and in bioavailability and bioequivalence studies. The observed data from a crossover trial can be incomplete due to dropout or other reasons. We propose a Bayesian joint model for the observed data and the missing process. We use Bayesian model comparison to compare different missingness models and consider application in data from a clinical trial.

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Revised September, 2007