Three Bayesian approaches are considered for the selection of binomial proportion parameters when data is subject to misclassification. The cases where the misclassification is non-differential and differential were considered, thus extending previous work which considered only non-differential misclassification. In this article, various selection criteria are applied to a simulated data set and a real data set.
Stamey, James D.; Bratcher, Thomas L.; and Young, Dean M.
"Bayesian Subset Selection of Binomial Parameters Using Possibly Misclassified Data,"
Journal of Modern Applied Statistical Methods: Vol. 6
, Article 20.
Available at: http://digitalcommons.wayne.edu/jmasm/vol6/iss2/20