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
Recommended Citation
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.
https://digitalcommons.cedarville.edu/social_work_publications/19
