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Optimal Sample Size for Multiple Testing: the Case of Gene Expression Microarrays (2004)
by
Peter Müller
,
Giovanni Parmigiani
,
Christian Robert
,
Judith Rousseau
| Venue: | Journal of the American Statistical Association |
| Citations: | 75 - 5 self |
BibTeX
@ARTICLE{Müller04optimalsample,
author = {Peter Müller and Giovanni Parmigiani and Christian Robert and Judith Rousseau},
title = {Optimal Sample Size for Multiple Testing: the Case of Gene Expression Microarrays},
journal = {Journal of the American Statistical Association},
year = {2004},
volume = {99},
pages = {990--1001}
}
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Abstract
We consider the choice of an optimal sample size for multiple comparison problems. The motivating application is the choice of the number of microarray experiments to be carried out when learning about dierential gene expression. However, the approach is valid in any application that involves multiple comparison in a large number of hypothesis tests.
