Fig 1: Violin plot of FDP for varying numbers of multiple tests, correlation 0, from simulated data. Test stat distâ€™s under H0 and HA are unit normal with means 0 and \(0.8 \sqrt{n/2}\), respectively, corresponding to a paired 2 sample test, effect size \(0.8\). Prior prob that HA is true is 0.05, with sample size, 45, giving 85% average power. FDP under BH-FDR procedure, FDR=15%.

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Fig 2: Violin plot of FDP for varying numbers of multiple tests, correlation 0.50, from simulated data. Test stat distâ€™s under H0 and HA are unit normal with means 0 and \(0.8 \sqrt{n/2}\), respectively, corresponding to a paired 2 sample test, effect size \(0.8\). Prior prob that HA is true is 0.05, with sample size, 45, giving 85% average power. FDP under BH-FDR procedure, FDR=15%.

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Fig 3: Violin plot of TPP for varying numbers of multiple tests, correlation 0, from simulated data. Test stat distâ€™s under H0 and HA are unit normal with means 0 and \(0.8 \sqrt{n/2}\), respectively, corresponding to a paired 2 sample test, effect size \(0.8\). Prior prob that HA is true is 0.05, with sample size, 45, giving 85% average power. TPP under BH-FDR procedure, FDR=15%.

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Fig 4: Violin plot of TPP for varying numbers of multiple tests, correlation 0.50, from simulated data. Test stat distâ€™s under H0 and HA are unit normal with means 0 and \(0.8 \sqrt{n/2}\), respectively, corresponding to a paired 2 sample test, effect size \(0.8\). Prior prob that HA is true is 0.05, with sample size, 45, giving 85% average power. TPP under BH-FDR procedure, FDR=15%.