Abstract
Multiple testing methods to control the false discovery rate, the expected proportion of falsely rejected null hypotheses among all rejections, have received much attention. It can be valuable to control not the mean of this false discovery proportion (FDP), but rather the probability that the FDP exceeds a specified bound. In this article we construct a general class of methods for exceedance control of FDP based on inverting tests of uniformity. The method also produces a confidence envelope for the FDP as a function of rejection threshold. We discuss how to select a procedure with good power.
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