Estimation of False Discovery Rates in Multiple Testing: Application to Gene Microarray Data

DOI10.1111/j.0006-341X.2003.00123.xzbMath1190.62133OpenAlexW2136434805WikidataQ33198358 ScholiaQ33198358MaRDI QIDQ3433245

Huey-Miin Hsueh, Chen-An Tsai, James J. Chen

Publication date: 27 April 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2003.00123.x

zbMATH Keywords

false discovery rate (FDR)number of true null hypotheses\(q\)-valueBayesian type I errorcomparison-wise error rate (CWE)number of rejections

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Exact distribution theory in statistics (62E15) Monte Carlo methods (65C05) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Paired and multiple comparisons; multiple testing (62J15)

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Cites Work

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• A modified Benjamini-Hochberg multiple comparisons procedure for controlling the false discovery rate
• Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
• Significance analysis of microarrays applied to the ionizing radiation response
• Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing
• A Direct Approach to False Discovery Rates

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