Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification. (November 2017)

• Record Type: Journal Article
• Authors: Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E.
• Is Part Of: Sociological methods & research. Volume 46:Number 4(2017)
• Page Start: 772
• Page End: 792
• Publication Date: 2017-11
• Subjects: misclassification -- Bayesian design -- correlated binary; Sociology -- Research -- Periodicals; Sociology -- Methodology -- Periodicals; 301.072
• DOI: 10.1177/0049124115605340
• Languages: English
• ISSNs: 0049-1241

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.