global test multiple testing correction
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@michael-gormley-2866
Last seen 3.3 years ago
United States
In the paper and vignette describing the globaltest package, the authors mention the need for multiple testing when testing large numbers of pathways or functional gene groups. While I agree the number of statistical tests does need to be accounted for, I do not understand the need for additional multiple testing correction if the permutation method of calculating p-values is used. This method is used often to approximate the false discovery rate, most notably in the original implementation of Significance Analysis of Microarrays (SAM). Am I on track with my assessment here or is the additional multiple testing correction used as a more accurate way of obtaining the true FDR? Thanks, Michael Gormley
Pathways globaltest Pathways globaltest • 733 views
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@debashis-ghosh-3081
Last seen 7.1 years ago
Hi Michael, I think the issue here is based on what we wish to make inference about. The multiplicity here is the number of pathways, NOT the number of individual genes. SAM accounts for multiplicity of the latter, not the former. Debashis On Sat, Oct 18, 2008 03:34 PM, "Michael Gormley" <michael.gormley@gmail.com> wrote: > In the paper and vignette describing the globaltest package, the >authors mention the need for multiple testing when testing large >numbers of pathways or functional gene groups. While I agree the >number of statistical tests does need to be accounted for, I do not >understand the need for additional multiple testing correction if the >permutation method of calculating p-values is used. This method is >used often to approximate the false discovery rate, most notably in >the original implementation of Significance Analysis of Microarrays >(SAM). Am I on track with my assessment here or is the additional >multiple testing correction used as a more accurate way of obtaining >the true FDR? > >Thanks, >Michael Gormley > >_______________________________________________ >Bioconductor mailing list >Bioconductor@stat.math.ethz.ch >https://stat.ethz.ch/mailman/listinfo/bioconductor >Search the archives: >http://news.gmane.org/gmane.science.biology.informatics.conductor > > > Debashis Ghosh Department of Statistics and Huck Institute of Life Sciences 514A Wartik Building Penn State University University Park, PA 16802 Email: ghoshd@psu.edu Phone: (814) 863-9886 Fax: (814) 863-6699 [[alternative HTML version deleted]]
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