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 a liberal error rate relative to the false discovery rate and family-wise error rate, in that it is always less than or equal to those rates.
References
- ^ 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.
 | This statistics-related article is a stub. You can help Wikipedia by expanding it. |
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 a liberal error rate relative to the false discovery rate and family-wise error rate, in that it is always less than or equal to those rates.
References
- ^ 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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| This statistics-related article is a stub. You can help Wikipedia by expanding it. |