False discovery rate (FDR) control has become an essential tool in the analysis of high-dimensional data, where thousands or millions of simultaneous hypotheses are tested. The aim is to limit the ...

Resampling-based methods for multiple hypothesis testing often lead to long run times when the number of tests is large. This paper presents a simple rule that substantially reduces computation by ...