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Activity Number:
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150
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #306715 |
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Title:
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Bayesian Model for Misclassified Binary Response with Covariate Subject to Measurement Error
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Author(s):
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Anna McGlothlin*+
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Companies:
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Baylor University
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Address:
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1624 S. 5th Street, Apt. 416, Waco, TX, 76706,
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Keywords:
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misclassification ; measurement error ; random effects ; Bayesian inference
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Abstract:
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We will consider a Bayesian analysis for modeling a binary outcome that is subject to misclassification. Additionally, an explanatory variable is assumed to be unobservable, but measurements are available on its surrogate. A binary regression model is developed to incorporate the measurement error in the covariate as well as the misclassification in the response. We will investigate the inclusion of a random effect to accommodate additional variation. A Bayesian model selection criterion will be utilized. Markov chain Monte Carlo methods are employed to perform the necessary computations. The methods developed will be illustrated through an example.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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