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Finos, Livio and Farcomeni , Alessio (2009) k-FWER control without multiplicity correction, with application to detection of genetic determinants of multiple sclerosis in Italian twins. [Working Paper] WORKING PAPER SERIES, 7/2009 . , PADOVA (Inedito)

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Abstract (english)

We show a novel approach for k-FWER control which does not involve any correction, but only testing the hypotheses along a (possibly datadriven) order until a suitable number of p-values are found above the uncorrected α level. p-values can arise from any linear model in a parametric or non parametric setting. The approach is not only very simple and computationally light, but also the data-driven order enhances power when the sample size is small (and also when k and/or m is large). We illustrate the method on an original study about gene discovery in multiple sclerosis, in which were involved a small number of couples of twins, discordant by disease.

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EPrint type:Working Paper
Anno di Pubblicazione:May 2009
More information:Pubblicato anche in: Biometrics - Interscience Wiley , Jun 1 2010, DOI: 10.1111/j.1541-0420.2010.01443.x
Key Words:Data driven order, Gene discovery, k-familywise error date, Multiple sclerosis, Multiple testing
Settori scientifico-disciplinari MIUR:Area 13 - Scienze economiche e statistiche > SECS-S/01 Statistica
Struttura di riferimento:Dipartimenti > Dipartimento di Scienze Statistiche
Codice ID:8798
Depositato il:18 May 2015 12:23
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