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Activity Number:
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458
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #306958 |
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Title:
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Bayesian Modeling of Multiple Episode Occurrence and Severity with a Terminating Event
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Author(s):
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Amy Herring*+
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Companies:
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The University of North Carolina at Chapel Hill
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Address:
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407 N. Elliott Road, Chapel Hill, NC, 27514,
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Keywords:
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Bayesian ; joint model ; pregnancy ; latent variable
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Abstract:
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In certain epidemiologic studies, one's health condition can affect the frequency and intensity of episodes that occur repeatedly and may be related to an event time. For example, vaginal bleeding during pregnancy may indicate problems predictive of preterm delivery. We propose a joint model for a multiple episode process and an event time. The frequency of the episode process is characterized by a latent variable model, which allows an individual's episode intensity to change dynamically over time. This latent episode intensity is then incorporated as a predictor in a discrete time model for the terminating event.
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