A Modified False Discovery Rate Multiple-Comparisons Procedure for Discrete Data, Applied to Human Immunodeficiency Virus Genetics
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Publication:5757744
DOI10.1111/j.1467-9876.2005.00475.xzbMath1490.62358OpenAlexW1995034596MaRDI QIDQ5757744
Publication date: 7 September 2007
Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9876.2005.00475.x
Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
Related Items (10)
Adaptive Filtering Increases Power to Detect Differentially Expressed Genes ⋮ Multiple test functions and adjusted \(p\)-values for test statistics with discrete distributions ⋮ Online multiple testing with super-uniformity reward ⋮ Controlling the false discovery exceedance for heterogeneous tests ⋮ New testing procedures with \(k\)-FWER control for discrete data ⋮ False discovery rate estimation for large‐scale homogeneous discrete p‐values ⋮ New FDR bounds for discrete and heterogeneous tests ⋮ Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations ⋮ On Benjamini-Hochberg procedure applied to mid \(p\)-values ⋮ RandomisedP-values and nonparametric procedures in multiple testing
Uses Software
Cites Work
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- Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
- Large sample theory of maximum likelihood estimates in semiparametric biased sampling models.
- Empirical Bayes Analysis of a Microarray Experiment
- A Direct Approach to False Discovery Rates
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