A More Powerful Step-up Procedure for Controlling the False Discovery Rate under Independence
Recently, Benjamini and Hochberg (J. Roy. Statist. Soc. B 57 (1995) 289) and Benjamini and Liu (J. Statist. Plann. Inference 82 (1999) 163) proposed step-up and step-down multiple hypotheses testing procedures, respectively, for controlling the false discovery rate (FDR) when all the test statistics...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2002
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| Online Access: | https://ink.library.smu.edu.sg/soe_research/192 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | Recently, Benjamini and Hochberg (J. Roy. Statist. Soc. B 57 (1995) 289) and Benjamini and Liu (J. Statist. Plann. Inference 82 (1999) 163) proposed step-up and step-down multiple hypotheses testing procedures, respectively, for controlling the false discovery rate (FDR) when all the test statistics are independent. In this paper, we propose another step-up procedure such that the FDR is still controlled at a specified significance level. Based on a simulation study, the new procedure is more powerful than both existing step-up and step-down procedures, especially when most of the hypotheses are false. |
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