Per-comparison error rate
From HandWiki
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". Journal of the Royal Statistical Society, Series B 57 (1): 289–300. http://www.math.tau.ac.il/~ybenja/MyPapers/benjamini_hochberg1995.pdf.
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