Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification

James Stamey, Daniel P. Beavers and Michael E. Sherr

Sociological Methods & Research, 2017, vol. 46, issue 4, 772-792

Abstract: Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is considered. A simulation-based sample size determination scheme is applied to illustrate the impact of misclassification on power and bias for the parameters of interest.

Keywords: misclassification; Bayesian design; correlated binary (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:46:y:2017:i:4:p:772-792

DOI: 10.1177/0049124115605340

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