A multivariate version of the Benjamini-Hochberg method

DOI10.1016/j.jmva.2008.02.013zbMath1169.62067OpenAlexW2003064279MaRDI QIDQ953866

B. E. Eshmatov

Publication date: 6 November 2008

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2008.02.013

zbMATH Keywords

average powermultiple testingfalse discovery rateempirical distributions

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Central limit and other weak theorems (60F05) Order statistics; empirical distribution functions (62G30) Paired and multiple comparisons; multiple testing (62J15)

Uses Software

• Bioconductor

Cites Work

• Unnamed Item
• Unnamed Item
• On the Benjamini-Hochberg method
• Interval estimation in a finite mixture model: Modeling \(P\)-values in multiple testing ap\-plications
• A mixture model approach for the analysis of microarray gene expression data.
• A moment-based method for estimating the proportion of true null hypotheses and its application to microarray gene expression data
• Analyzing Microarray Gene Expression Data
• A Direct Approach to False Discovery Rates
• Operating Characteristics and Extensions of the False Discovery Rate Procedure
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data