The aim of this paper is to discuss a behavioral Bayes approach to the question of the size of a clinical trial. The optimal size is obtained by maximizing the expected net benefit function, which is the expected benefit from subsequent use of the new treatment minus the cost of the trial. A plausible model for the number of subsequent users of the new treatment is introduced.
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