M-regression, false discovery rates and outlier detection with application to genetic association studies
DOI10.1016/J.CSDA.2014.03.019zbMath1506.62116OpenAlexW2033298042MaRDI QIDQ1623619
Publication date: 23 November 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.2014.03.019
robust regressionfalse discovery ratesingle nucleotide polymorphismgenetic association studiesrobust outlier test
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Robustness and adaptive procedures (parametric inference) (62F35) Protein sequences, DNA sequences (92D20) Paired and multiple comparisons; multiple testing (62J15)
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- The control of the false discovery rate in multiple testing under dependency.
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- Outlier Detection and False Discovery Rates for Whole-Genome DNA Matching
- Statistical significance for genomewide studies
- Robust Estimation of a Location Parameter
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