Title

A Modified Benjamini–Hochberg Multiple Comparisons Procedure for Controlling the False Discovery Rate

Publication Type

Journal Article

Publication Date

2002

Abstract

When performing simultaneous statistical tests, the Type I error concept most commonly controlled by analysts is the familywise error rate, i.e., the probability of committing at least one Type I error. However, this criterion is unduly stringent for some practical situations and therefore may not be appropriate. An alternative concept of error control was provided by Benjamini and Hochberg (J. Roy. Statist. Soc. B 57 (1995) 289) who advocate control of the expected proportion of falsely rejected hypotheses which they term the false discovery rate or FDR. These authors devised a step-up procedure for controlling the FDR. In this article, when the joint distribution of test statistics is known, continuous, and positive regression dependent on each one from a subset of true null hypotheses, we derive and discuss a modification of their procedure which affords increased power. An example is provided to illustrate our proposed method.

Discipline

Economics

Research Areas

Econometrics

Publication

Journal of Statistical Planning and Inference

Volume

104

Issue

2

First Page

351

Last Page

362

ISSN

0378-3758

Identifier

10.1016/s0378-3758(01)00252-x

Publisher

Elsevier

Additional URL

http://dx.doi.org/10.1016/s0378-3758(01)00252-x

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