BOOK-CHAPTER

Stepdown Procedures Controlling a Generalized False Discovery Rate

Wenge GuoSanat K. Sarkar

Year: 2014 Statistical science and interdisciplinary research Pages: 53-69   Publisher: World Scientific

Abstract

Often in practice when a large number of hypotheses are simultaneously tested, one is willing to allow a few false rejections, say at most ki1, for some flxed k > 1. In such a case, the ability of a procedure controlling an error rate measuring at least one false rejection can potentially be improved in terms of its ability to detect false null hypotheses by generalizing this error rate to one that measures at least k false rejections and using procedures that control it. The k-FDR which is the expected proportion of k or more false rejections and a natural generalization of the false discovery rate (FDR) is such a generalized notion of error rate that has recently been introduced and procedures controlling it have been proposed. Many of these procedures are stepup procedures. Some stepdown procedures controlling the k-FDR are presented in this article.

Keywords:
False discovery rate Computer science Biology

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Topics

Statistical Methods in Clinical Trials
Physical Sciences →  Mathematics →  Statistics and Probability
Optimal Experimental Design Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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