Bayesian adaptive trials have gained popularity as flexible alternatives to conventional randomized clinical trial designs. Bayesian probability statements are commonly used as the basis of decision making throughout the trial to make interim adjustments and facilitate early stopping. Statistical design of Bayesian adaptive trials often requires extensive simulation studies to assess and report frequentist operating characteristics (power and type I error rate) required by regulatory agencies.