Controlling the number of false discoveries: application to high-dimensional genomic data

By Edward L. Korn, J. Troendle, Lisa M. McShane, Richard M. Simon. 2004

296 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/be8a0ffbda6b3dd8c1a1057d530d17003bc58c6c

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In Molecular Biology

Citations in the corpus

Control of generalized error rates in multiple testing (2007, methodology): “In fact, the result in [15] for kFWER control in a specialized multivariate permutation setup is a special case of our results.”
Generalizations of the familywise error rate (2005, unknown): “Korn, Troendle, McShane and Simon [8] provide”
Balanced Control of Generalized Error Rates (2010, methodology): “The proposal of [17] is heuristic in the sense that they cannot guarantee finite sample nor asymptotic control of the FDP even if the permutation hypothesis is valid.”
BMC Bioinformatics (2005, unknown): “Typically in microarray data analysis, equicorrelated normal structures such as single pairwise correlation matrices or block diagonal matrices with a single pairwise correlation in each block are considered [14,15].”
STEPUP PROCEDURES CONTROLLING GENERALIZED FWER AND GENERALIZED FDR (2007, methodology): “Recently, the ideas of controlling the probabilities of falsely rejecting at least k null hypotheses, which is the k-FWER, and the false discovery proportion (FDP) exceeding a certain threshold γ ∈ [0,1) have been introduced as alternatives to the FWER and methods controlling these new error rates h”
Only closed testing procedures are admissible for controlling false discovery proportions (2019, methodology): “Examples of such methods include Meinshausen (2008), Goeman and Mansmann (2008), Goeman and Finos (2012), Meijer and Goeman (2015b), Meijer et al.”
Exceedance Control of the False Discovery Proportion (2006, methodology): “In addition, at the request of a reviewer, we have included corresponding results for the method of Korn et al. (2004).”
Permutation-based simultaneous confidence bounds for the false discovery proportion (2018, methodology): “Existing permutation methods for FDP conﬁdence are Korn et al. (2004, 2007), contains the p -value thresholds of interest.”
Stepup procedures for control of generalizations of the familywise error rate (2006, methodology): “Korn, Troendle, McShane and Simon [9] provide methods that control both the k-FWER and FDP ; their results are limited to a multivariate permutation model.”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “05, multiple comparison corrected for number of frequencies, (Korn et al., 2004)).”
False Discovery Control for Multiple Tests of Association Under General Dependence (2006, methodology): “For a given threshold of b permitted false rejections (where b is chosen as either 5, 10, or 50), as many rejections as possible are made, once with the proposed method and once with the method of Korn et al. (2004), both at nominal level 5%.”
Generalizing Simes' test and Hochberg's stepup procedure (2008, background): “A number of such procedures have been proposed in the literature [3, 9, 11, 12, 13, 21].”
A random variance model for detection of differential gene expression in small microarray experiments (2003, methodology): “We recommend using the RVM p-values in the context of a larger framework that controls the number or proportion of false discoveries, such as the method of Benjamini and Hochberg (1995), or the multivariate permutation tests of Korn et al. (2003) .”
Control of the mean number of false discoveries, Bonferroni and stability of multiple testing (2007, methodology): “Korn et al. (2004) also mentioned a procedure which is essentially identical to Bonf γ with γ = 10, but their main focus was on concepts of error rate other than the PFER.”