Controlling the false discovery rate (FDR) is a powerful approach to multiple testing, with
procedures developed with applications in many areas. Dependence among the test …

Multiple testing methods to control the false discovery rate, the expected proportion of falsely
rejected null hypotheses among all rejections, have received much attention. It can be …

In a breakthrough paper, Benjamini and Hochberg (J Roy Stat Soc Ser B 57: 289–300,
1995) proposed a new error measure for multiple testing, the FDR; and developed a …

Most false discovery rate (FDR) controlling procedures require certain assumptions on the
joint distribution of p-values. Benjamini and Hochberg [1995. Controlling the false discovery …

A great upsurge in research has taken place during the last decade or so in the area of
multiple testing due to its increased relevance in modern scientific investigations. A major …

Benjamini and Hochberg (1995) proposed the false discovery rate (FDR) as an alternative to
the familywise error rate (FWER) in multiple testing problems. Since then, researchers have …

Consider the problem of testing multiple null hypotheses. A classical approach to dealing
with the multiplicity problem is to restrict attention to procedures that control the familywise …

For the problems of multiple hypotheses testing, Benjamini and Hochberg (1995, J. Roy.
Statist. Soc. Ser. B 57, 289–300), proposed the control of the expected ratio of the number of …

The use of a fixed rejection region for multiple hypothesis testing has been shown to
outperform standard fixed error rate approaches when applied to control of the false …

We present a method for multiple hypothesis testing that maintains control of the false
discovery rate while incorporating prior information about the hypotheses. The prior …