An inferential Bayesian framework for sample size determination for a clinical trial is presented. It is assumed that the data are from a normal distribution for which the variance is known. We shall apply a Bayesian argument to show how we may use the prior information on the two treatment effects to decide how many patients are needed in each of these two groups.
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