Keywords: Bayesian approach, binary data, double sampling, false positive, interval estimation, misclassification, odds ratios
A Bayesian approach is considered for a point and interval estimation of two binomial proportion parameters (for odds ratios) using data-augmentation method (in the presence of a training data) subject to false-positive misclassification. For such data, we derive an easy-to-implement, closed-form algorithm for drawing from the posterior distributions. A real data will be used for an application example.