Fig. 2

Simulation – Number of repetitions with at least 1 false positive decision and average specificity for π₀ = 100% (a). Average power and specificity for β₁ = 2.5 and π₀ = 75% (b), 50% (c), 25% (d). Applied procedures controlling the type I error: Bonferroni correction, Hommel’s procedure, Benjamini-Hochberg’s procedure, Two-stage procedure, Benjamini-Yekutieli’s procedure, Storey’s q-value method, Strimmer’s q-value method, Strimmer’s LFDR method. Power is defined as the proportion of correctly rejected hypotheses and specificity as the proportion of correctly maintained hypotheses. Both proportions potentially range from 0 to 1. Simulations for each scenario were repeated 100 times