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Activity Number:
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13
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306187 |
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Title:
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Bayesian Model Checking for a Longitudinal Binary Variable
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Author(s):
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Catherine Crespi*+ and W. John Boscardin and William G. Cumberland
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
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Address:
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School of Public Health, Los Angeles, CA, 90095-1772,
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Keywords:
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longitudinal data ; binary data ; model fit ; Bayesian model ; posterior predictive model checking
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Abstract:
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In many longitudinal studies, the outcome of interest is a binary variable and the data are a series of 0/1 indicators. We develop methods for assessing the fit of a Bayesian model for a longitudinal binary variable using posterior predictive model checking. Application to clinical data demonstrates how the methods can help discriminate among competing models.
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