Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0378-3758(01)00252-X
Title: A modified Benjamini-Hochberg multiple comparisons procedure for controlling the false discovery rate
Authors: Kwong, K.S. 
Holland, B.
Cheung, S.H.
Keywords: Familywise error rate
FDR
MBH
Positive regression dependency
Issue Date: 1-Jun-2002
Source: Kwong, K.S., Holland, B., Cheung, S.H. (2002-06-01). A modified Benjamini-Hochberg multiple comparisons procedure for controlling the false discovery rate. Journal of Statistical Planning and Inference 104 (2) : 351-362. ScholarBank@NUS Repository. https://doi.org/10.1016/S0378-3758(01)00252-X
Abstract: When performing simultaneous statistical tests, the Type 1 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. © 2002 Elsevier Science B.V. All rights reserved.
Source Title: Journal of Statistical Planning and Inference
URI: http://scholarbank.nus.edu.sg/handle/10635/104939
ISSN: 03783758
DOI: 10.1016/S0378-3758(01)00252-X
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