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Effects of dependence in high-dimensional multiple testing problems

BACKGROUND: We consider effects of dependence among variables of high-dimensional data in multiple hypothesis testing problems, in particular the False Discovery Rate (FDR) control procedures. Recent simulation studies consider only simple correlation structures among variables, which is hardly insp...

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Detalles Bibliográficos
Autores principales:	Kim, Kyung In, van de Wiel, Mark A
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2008
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375137/ https://www.ncbi.nlm.nih.gov/pubmed/18298808 http://dx.doi.org/10.1186/1471-2105-9-114

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