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Table 2 Algorithms of methods controlling family-wise error rate (FWER) and false discovery rate (FDR) Let m be the number of hypotheses H1, …, Hm to test and p1, …, pm their respective m p-values. The p-values ranked in increasing order are defined as p(1) ≤ … ≤ p(m). The overall significance threshold is called α. Furthermore, let \( \widehat{\pi_0} \) be the estimated proportion of true null hypotheses

From: Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation