Application of Bayesian hierarchical model in clinical trial of medical device

Bayesian method was derived from Bayes theorem.The estimated parameter was a random variable in Bayesian method.Statistical inference was based on the prior probability and obtained from the posterior probability.Information of the prior was commonly well established in medical device study.The cost of study could be minimized if the Bayesian method was used appropriately.Compared to the traditional Bayesian method,Bayesian hierarchical model had less restriction on the interchangeability of the prior.The prior would be partly draw and then combine with the current data.The data from a registry study of drug eluting stent were used as an example,we would show the difference between Bayesian and frequency methods and give more discussion.