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When drawing large‐scale simultaneous inference, such as in genomics and imaging problems, multiplicity adjustments should be made, since, otherwise, one would be faced with an inflated type I error. Numerous methods are available to estimate the proportion of true null hypotheses π0, among a large number of hypotheses tested. Many methods implicitly assume that the π0 is large, that is, close to...
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