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An expected fraction of rejected null hypotheses that are falsely rejected, i.e. the fraction of significant findings that are actually not true. One method to control FDR in multiple testing is Benjamini-Hochberg procedure.
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Is it fair to use FDR when the p-value distribution is not uniform under null hypothesis?
One post says that we should check the distribution of p-value before apply FDR correction. If the p-value distribution doesn't behavior well(e.g. U shape, not uniformly distributed at the tail toward …