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The objective of the present study is to show that this popular belief is due to overly stringent requirements that are typically imposed on the procedure rather than to its conservative nature. To get over its notorious conservatism, we advocate using the Bonferroni selection rule as a procedure that controls the per family error rate (PFER). The present paper reports the first study of stability properties of the Bonferroni and Benjamini–Hochberg procedures. The Bonferroni procedure shows a superior stability in terms of the variance of both the number of true discoveries and the total number of discoveries, a property that is especially important in the presence of correlations between individual p-values. Its stability and the ability to provide strong control of the PFER make the Bonferroni procedure an attractive choice in microarray studies."}}]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Multiple testing"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"stability"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Bonferroni method"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"microarray data"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Alexander Gordon, Galina Glazko, Xing Qiu, and Andrei Yakovlev. 2007. \"Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing.\" Ann. Appl. Statist. Volume 1, Number 1 (2007), 179-190. article available here."}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: This study was deposited under the of the Data-PASS standard deposit terms. A copy of the usage agreement is included in the file section of this study.;"},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2007"},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Institute for Mathematical Statistics"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"http://www.imstat.org/aoas/"},"distributorLogoURL":{"typeName":"distributorLogoURL","multiple":false,"typeClass":"primitive","value":"http://www.imstat.org/images/imslogo1.gif"}}]},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2007"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2007-10-01"}]}},"files":[{"description":"Analysis of an Artificial\r Spike-in Data Set","label":"supplement1.pdf","restricted":false,"version":1,"datasetVersionId":66701,"categories":["1. 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