k-FWER control without p -value adjustment, with application to detection of genetic determinants of multiple sclerosis in italian twins.
Biometrics
; 67(1): 174-81, 2011 Mar.
Article
em En
| MEDLINE
| ID: mdl-20528862
ABSTRACT
We show a novel approach for k-FWER control which does not involve any correction, but only testing the hypotheses along a (possibly data-driven) 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 nonparametric setting. The approach is not only very simple and computationally undemanding, but also the data-driven order enhances power when the sample size is small (and also when k and/or the number of tests 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. The methods are implemented in an R package (someKfwer), freely available on CRAN.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Gêmeos
/
Algoritmos
/
Marcadores Genéticos
/
Predisposição Genética para Doença
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Esclerose Múltipla
Tipo de estudo:
Diagnostic_studies
Limite:
Female
/
Humans
/
Male
País/Região como assunto:
Europa
Idioma:
En
Revista:
Biometrics
Ano de publicação:
2011
Tipo de documento:
Article
País de afiliação:
Holanda