Search for relevant sets of variables in a high‐dimensional setup keeping the familywise error rate

DOI10.1111/j.1467-9574.2005.00290.xzbMath1069.62048OpenAlexW2124468918MaRDI QIDQ5313465

Ekkehard Glimm, Markus Eszlinger, Jürgen Läuter

Publication date: 1 September 2005

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2005.00290.x

zbMATH Keywords

model choicepermutation testgene expression analysismultiple procedurespherical test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15)

Related Items (7)

A new proposal for a principal component-based test for high-dimensional data applied to the analysis of PhyloChip data ⋮ Rotation test with pairwise distance measures of sample vectors in a GLM ⋮ Rotation‐based multiple testing in the multivariate linear model ⋮ Multiple comparisons of mean vectors with large dimension under general conditions ⋮ Estimation in High-Dimensional Analysis and Multivariate Linear Models ⋮ Comparison of exact parametric tests for high-dimensional data ⋮ A note on left-spherically distributed test with covariates

Cites Work

• Multiple hypothesis testing in microarray experiments.
• Multivariate tests based on left-spherically distributed linear scores
• The elements of statistical learning. Data mining, inference, and prediction
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