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A Simple Bayesian analysis of misclassified binary data with a validation substudy

Prescott, Gordon J. and Garthwaite, Paul H. (2002). A Simple Bayesian analysis of misclassified binary data with a validation substudy. Biometrics, 58(2) pp. 454–458.

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A two-stage Bayesian method is presented for analyzing case–control studies in which a binary variable is sometimes measured with error but the correct values of the variable are known for a random subset of the study group. The first stage of the method is analytically tractable and MCMC methods are used for the second stage. The posterior distribution from the first stage becomes the prior distribution for the second stage, thus transferring all relevant information between the stages. The method makes few distributional assumptions and requires no asymptotic approximations. It is computationally fast and can be run using standard software. It is applied to two data sets that have been analyzed by other methods, and results are compared.vv

Item Type: Journal Article
Copyright Holders: 2002 International Biometric Society
ISSN: 1541-0420
Keywords: errors in variables; measurement error; misclassification; odds ratio
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Mathematics, Computing and Technology
Item ID: 3449
Depositing User: Users 2598 not found.
Date Deposited: 27 Jun 2006
Last Modified: 20 Jan 2016 10:09
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