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In the past 15 years there has been a noticeable increase in the use of Bayesian statistics in medical device clinical trials.One approach is to use Bayesian hierarchical models to "borrow strength" from pre-identified earlier data.Another approach is adaptive,using accumulating information in the trial,often with a non-informative prior,that allows for early stopping for success or futility but also uses predictive probabilities to curtail patient enrollment earlier.