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Per-comparison error rate

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In statistics, per-comparison error rate (PCER) is the probability of a Type I error in the absence of any multiple hypothesis testing correction.[1] This is liberal error rate relative to the false discovery rate and familywise error rate, in the sense that it is always less than or equal to those rates.

References

  1. ^ Benjamini, Yoav; Hochberg, Yosef (1995). "Controlling the false discovery rate: a practical and powerful approach to multiple testing" (PDF). Journal of the Royal Statistical Society, Series B. 57 (1): 289–300. MR 1325392.
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