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.{{cite journal | last1 = Benjamini | first1= Yoav | last2= Hochberg | first2= Yosef | year = 1995 | title = Controlling the false discovery rate: a practical and powerful approach to multiple testing | journal = Journal of the Royal Statistical Society, Series B | volume = 57 | issue = 1 | pages = 289–300 | doi= 10.1111/j.2517-6161.1995.tb02031.x |mr=1325392 | url = http://www.math.tau.ac.il/~ybenja/MyPapers/benjamini_hochberg1995.pdf}} 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.