Bayesian power and Assurance allows accounting for the uncertainty on the parameters. These metrics give estimates closer to a probability of success that the trial will indeed be a success. Uncertainty must be accounted for in order to ensure that the appropriate sample size is selected in order to maximize the success of the clinical trial. Read the full article here

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