Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification
Sociological Methods and Research
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.
Misclassification, Bayesian design, correlated binary
Stamey, James D.; Beavers, Daniel P.; and Sherr, Michael E., "Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification" (2017). Social Work Faculty Publications. 19.