Article · Wikipedia archive · Last revised Jun 2, 2026

Per-comparison error rate

In statistics, per-comparison error rate (PCER) is the probability of a Type I error in the absence of any multiple hypothesis testing correction. 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.

Last revised

Jun 2, 2026

Read time

≈ 1 min

Length

85 w

Citations

1

Source

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

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. doi:10.1111/j.2517-6161.1995.tb02031.x. MR 1325392.