Social Work Faculty Publications

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

Document Type

Article

Publication Date

11-2017

Journal Title

Sociological Methods and Research

ISSN

0049-1241

Volume

46

Issue

4

First Page

772

Last Page

792

DOI

10.1177/0049124115605340

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

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