Bayesian analysis of a matched case–control study with expert prior information on both the misclassification of exposure and the exposure–disease association | Zendy

Liu Juxin | Zendy; Gustafson Paul | Zendy; Cherry Nicola | Zendy; Burstyn Igor | Zendy

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Bayesian analysis of a matched case–control study with expert prior information on both the misclassification of exposure and the exposure–disease association

Author(s) -

Liu Juxin,

Gustafson Paul,

Cherry Nicola,

Burstyn Igor

Publication year - 2009

Publication title -

statistics in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.996

H-Index - 183

eISSN - 1097-0258

pISSN - 0277-6715

DOI - 10.1002/sim.3694

Subject(s) - dirichlet distribution , multinomial distribution , bayesian probability , statistics , association (psychology) , prior probability , disease , computer science , a priori and a posteriori , econometrics , medicine , mathematics , psychology , mathematical analysis , psychotherapist , boundary value problem , philosophy , epistemology

We propose a Bayesian adjustment for the misclassification of a binary exposure variable in a matched case–control study. The method admits a priori knowledge about both the misclassification parameters and the exposure–disease association. The standard Dirichlet prior distribution for a multinomial model is extended to allow separation of prior assertions about the exposure–disease association from assertions about other parameters. The method is applied to a study of occupational risk factors for new‐onset adult asthma. Copyright © 2009 John Wiley & Sons, Ltd.

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