A fundamental task in the analysis of data sets with many variables is screening for associations. This can be cast as a multiple testing task, where the objective is achieving high detection power while controlling type I error. We consider m hypothesis tests represented by pairs...

It has often been noted that the "null-hypothesis-significance-testing" (NHST) framework is an inconsistent hybrid of Neyman-Pearson's "hypothesis testing" and Fisher's "significance testing" that almost inevitably causes misinterpretations. To facilitate a realistic assessment of the potential...

Correspondence tests have been used by scholars and civil rights organizations to measure ethnic discrimination. In contrast to research testing covering a whole market through many discrimination tests, litigation testing typically targets a single agent, which can only be tested through a very...

Correspondence tests have been used by scholars and civil rights organizations to measure ethnic discrimination. In contrast to research testing covering a whole market through many discrimination tests, litigation testing typically targets a single agent, which can only be tested through a very...