A direct approach to false discovery rates

By John D. Storey. 2002

5,884 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/821c6660965ab4925d49aebffb40fd831b23a3f6

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Phylogenetic diversity, trait diversity and niches: species assembly of ferns along a tropical elevational gradient (2011, methodology): “We applied the false discovery rate (FDR) analysis to correct for such pseudoreplicated comparisons by computation of a P value cut-off (Storey, 2002).”
Judicious Use of Multiple Hypothesis Tests (2005, methodology): “More recently developed alternatives that control the false discovery rate (Benjamini & Hochberg 1995; Storey 2002) provide marked increases in power over sequential Bonferroni methods.”
Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk (2015, methodology): “False discovery rate (FDR) q-value was applied for adjusting multiple comparisons [32].”
Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding (2011, methodology): “Finally, we convert the estimated false discovery rate into a q-value [20], which is defined as the minimum FDR threshold at which an observed score is deemed significant.”
Weighted Gene Coexpression Network Analysis: State of the Art (2010, methodology): “…Wilcoxon test and Kruskal–Wallis test are applied to thousands of genes and the most signiﬁcant genes are selected as the differentially ZHAO ET AL. number of genes to be selected is usually guided by an appropriate false discovery (FDR) ( Benjamini and Hochberg, 1995, 2000; Storey, 2002, 2003).”
STEPUP PROCEDURES CONTROLLING GENERALIZED FWER AND GENERALIZED FDR (2007, background): “SARKAR expected proportion of falsely rejected null hypotheses and which was introduced by Benjamini and Hochberg [1], is the first of these that has received considerable attention [2, 3, 4, 5, 6, 12, 15, 16, 17, 21, 22].”
Bon-EV: an improved multiple testing procedure for controlling false discovery rates (2017, methodology): “Arguing that where m 0 = m , one would not be interested in cases where no test is significant ( FDR = 1 in this situation), Storey [7] proposes the definition of positive false discovery rate (pFDR) that is conditional on at least one rejection.”
Induction of a Striking Systemic Cytokine Cascade prior to Peak Viremia in Acute Human Immunodeficiency Virus Type 1 Infection, in Contrast to More Modest and Delayed Responses in Acute Hepatitis B and C Virus Infections (2009, neutral): “used to compute adjusted P values (43).”
A review of feature selection techniques in bioinformatics (2007, background): “org/ Qvalue (Bioconductor) R [114] http://www.”
A new FST‐based method to uncover local adaptation using environmental variables (2015, methodology): “Our method outputs posterior error probabilities and q-values, which are test statistics related to the false discovery rate (FDR) (Storey 2002; K€all et al. 2008).”
Testosterone predicts future dominance rank and mating activity among male chacma baboons (2006, methodology): “All points above the horizontal line are significant correlations at p 0.05 (after post-hoc correction for multiple testing using Qvalue, see text for details) Although the small sample size (N=6) gave us little statistical power to detect a difference in young males, the effect of migration in old ”
Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis (2007, methodology): “The adjusted analysis finds fewer significant genes at standard FDR cutoffs (Table 1).”
Covariate‐assisted ranking and screening for large‐scale two‐sample inference (2019, methodology): “…we propose the following non-parametric smoothing estimator π̂τ1.s/=1− ∑ i∈T .τ / Kh .s− si/ .1− τ / m∑ i=1 Kh.s− si/ : .4:3/ Choosing tuning parameter τ is an important issue but has gone beyond the scope of the current work; see Storey (2002) and Langaas et al. (2005) for further discussions.”
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG (2010, neutral): “Those p-values are further corrected in a second step by means of the Storey method (Storey, 2002); that correction accounts for the multiple synchrony measures.”