An Asymptotically Exact Multiple Testing Procedure under Dependence
By: Swarnadeep Datta, Monitirtha Dey
Potential Business Impact:
Finds true results in experiments more reliably.
We propose a simple single-step multiple testing procedure that asymptotically controls the family-wise error rate (FWER) at the desired level exactly under the equicorrelated multivariate Gaussian setup. The method is shown to be asymptotically exact using an explicit plug-in estimator for the equicorrelation, and does not require stepwise adjustments. We establish its theoretical properties, including the convergence to the desired error level, and demonstrate its effectiveness through simulation results. We also spell out related extensions to block-correlated structures and generalized FWER control.
Similar Papers
Some Results on Generalized Familywise Error Rate Controlling Procedures under Dependence
Statistics Theory
Finds more real effects in science data.
Most Powerful Test with Exact Family-Wise Error Rate Control: Necessary Conditions and a Path to Fast Computing
Methodology
Finds the best way to test many ideas.
Family-wise error rate control in clinical trials with overlapping populations
Methodology
Fixes drug tests that wrongly say medicine works.