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Chunk #31 — False discovery rates

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Detecting multiple associations in genome-wide studies.
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Korn et al. study the within-study proportion of false discoveries and give procedures that keep the number (or proportion) of false discoveries within an upper bound with given probability [57]. The attraction of this approach is that one can limit the number of false positives with reasonable confidence, with the main disadvantage being increased computation. It is uncertain how the false discovery proportion behaves when it falls outside the upper bound and, although this approach is attractive, further operating characteristics may be needed before it becomes more widely used.