Control of the FWER in Multiple Testing Under Dependence
DOI10.1080/03610910902936281zbMath1175.62057OpenAlexW2113790670MaRDI QIDQ3645003
David Causeur, Chloé Friguet, Maela Kloareg
Publication date: 16 November 2009
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610910902936281
factor analysisfamily-wise error rategene expression datamicroarray experimentsmultiple-hypothesis testingnon-discovery rate
Factor analysis and principal components; correspondence analysis (62H25) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
Related Items (1)
Uses Software
Cites Work
- Control of the mean number of false discoveries, Bonferroni and stability of multiple testing
- EM algorithms for ML factor analysis
- Multiple hypothesis testing in microarray experiments.
- Simultaneous confidence intervals for differential gene expressions
- Diverse correlation structures in gene expression data and their utility in improving statistical inference
- 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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