Estimation of the proportion of true null hypotheses in high-dimensional data under dependence

DOI10.1016/j.csda.2011.03.016zbMath1464.62072OpenAlexW2078556927MaRDI QIDQ1658319

Chloé Friguet, David Causeur

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.03.016

zbMATH Keywords

dependencehigh dimensionmultiple-hypothesis testingproportion of true null hypotheses

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology ⋮ On improving some adaptive BH procedures controlling the FDR under dependence ⋮ Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach ⋮ Estimating the proportion of true null hypotheses using the pattern of observedp-values ⋮ A Framework for Monte Carlo based Multiple Testing

Uses Software

• FAMT
• kerfdr

Cites Work

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• Unnamed Item
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• Correlation and Large-Scale Simultaneous Significance Testing
• Statistical significance for genomewide studies
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

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