A generalization of step‐up and step‐down multiple test procedures is proposed. This step‐up‐down procedure is useful when the objective is to reject a specified minimum number, q , out of a family of k hypotheses. If this basic objective is met at the first step, then it proceeds in a step‐down manner to see if more than q hypotheses can be rejected. Otherwise it proceeds in a step‐up manner to see if some number less than q hypotheses can be rejected. The usual step‐down procedure is the special case where q = 1, and the usual step‐up procedure is the special case where q = k . Analytical and numerical comparisons between the powers of the step‐up‐down procedures with different choices of q are made to see how these powers depend on the actual number of false hypotheses. Examples of application include comparing the efficacy of a treatment to a control for multiple endpoints and testing the sensitivity of a clinical trial for comparing the efficacy of a new treatment with a set of standard treatments.
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Tamhane et al. (1998) studied this question.
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