Abstract
A statistical decision model is applied to the benefit evaluation of screening projects to derive an expression which provides upper and lower limits for average benefits in terms of prevalance rates of screen positives and negatives, and the average cost of screening and referral. Possible applications of such a technique are discussed and a numerical example is given.

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