Bayesian sample size determination for case-control studies with misclassification

We develop a Bayesian simulation based approach for determining the sample size required for a case-control study with misclassified data. Our method assumes a validation subsample is available. Using an average posterior variance criterion we consider both fixed cost and fixed variance procedures.