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Per-comparison error rate

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In statistics, per-comparison error rate (PCER) is the probability of a result in the absence of any formal multiple hypothesis testing correction.[1] Typically, when considering a result under many hypotheses, some tests will give false positives; many statisticians make use of Bonferroni correction, false discovery rate, and other methods to determine the odds of a negative result appearing to be positive.

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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