Additional file 3 of Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation

Abstract

Simulation – Average power and specificity for β1 = 1 and π0 = 75% (a), 50% (b), 25% (c). 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. (PNG 457 kb

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