Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sample sizes

BACKGROUND: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a significant difference in location parameters from zero or one for ratios thereof for each variable. However, in some studies...

Descripción completa

Detalles Bibliográficos
Autores principales: Frömke, Cornelia, Hothorn, Ludwig A, Kropf, Siegfried
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2268654/
https://www.ncbi.nlm.nih.gov/pubmed/18221560
http://dx.doi.org/10.1186/1471-2105-9-54

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2268654/
https://www.ncbi.nlm.nih.gov/pubmed/18221560
http://dx.doi.org/10.1186/1471-2105-9-54

Ejemplares similares