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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.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1111/j.0006-341X.2002.00454.x
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Abstract

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
ISSN: 1541-0420
Academic Unit/Department: Mathematics, Computing and Technology > Mathematics and Statistics
Item ID: 3449
Depositing User: Users 2598 not found.
Date Deposited: 27 Jun 2006
Last Modified: 02 Dec 2010 19:49
URI: http://oro.open.ac.uk/id/eprint/3449
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