Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
By John D. Storey, Jonathan E. Taylor, David O. Siegmund. 2004
1,557 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/21b6c1b4a61d4d2ecbcdccea88b1e290648c08cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Étienne Roquain
- Jelle J. Goeman
- Aldo Solari
- Sanat K. Sarkar
- Gilles Blanchard
- Michael Wolf
- Joseph P. Romano
- Yoav Benjamini
In Statistics and Probability
- Étienne Roquain
- Jelle J. Goeman
- Aldo Solari
- E.J. Candes
- Sanat K. Sarkar
- Gilles Blanchard
- Robert Tibshirani
- Martin J. Wainwright
Citations in the corpus
- Size, power and false discovery rates (2007, neutral): “All combinations are possible, a power analysis using local fdr with a theoretical null distribution for instance, but only a few are illustrated in the text.”
- Estimating the number of true null hypotheses from a histogram of p values (2006, background): “Storey, Taylor, and Siegmund (2004) have established theoretical results on FDR control for methods that use m̂0(λ) to estimate m0.”
- Conformal prediction beyond exchangeability (2022, methodology): “For example, the case where a1 = · · · = an = 1 and p1 = · · · = pn is proved in [Storey et al., 2004, Theorem 3] and used for proving FDR control of Storey’s modification of the Benjamini-Hochberg procedure [Storey, 2002].”
- Hierarchical False Discovery Rate–Controlling Methodology (2008, background): “Another estimation effort is the estimation of the proportion of true null hypotheses (Benjamini and Hochberg 2000; Storey, Taylor, and Siegmund 2004) to derive more powerful testing procedures.”
- Optimal weighting for false discovery rate control (2008, methodology): “However, taking for instance for c0 the Storey estimator (see [23, 25 ]), b θm converges in probability when m grows to infinity, so that the fluctuations of b θm in the weights will have a marginal effect on the effective FDR of the so multi-weighted procedures when m becomes large.”
- A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms (2008, background): “Moreover, FDR assumes that the P-values corresponding to true null hypothesis tests are independent and uniformly distributed or can be considered as approximately independent [Benjamini and Hochberg, 1995; Storey et al., 2004], which is likely to be violated when there is high LD among SNPs in gene”
- A unified treatment of multiple testing with prior knowledge using the p-filter (2017, background): “[43] John Storey, Jonathan Taylor, and David Siegmund.”
- Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context (2009, methodology): “Array-wide scanning for CpG loci associations with sample type or covariate used false discovery rate estimation and Q–values computed by the qvalue package in R [56].”
- Multiple hypothesis testing in genomics (2014, background): “A proof of conservative consistency for the estimate is available [70], which says that lim m !”
- Estimating the proportion of true null hypotheses, with application to DNA microarray data (2005, methodology): “Storey (2002) and Storey et al. (2004) , section 6, suggested estimating MSE{ ˆ π0.λ/} for fixed λ by using bootstrapping.”
- Adaptive linear step-up procedures that control the false discovery rate (2006, methodology): “Other computer-intensive adaptive procedures based on resampling and bootstrapping have also been suggested; see Yekutieli & Benjamini (1999), the resampling based choice of λ in Storey (2002) and Storey et al. (2004) and the cubic spline fit in Storey & Tibshirani (2003a).”
- Multiple Hypothesis Testing by Clustering Treatment Effects (2007, methodology): “(FDR) is robust to weak among-gene dependencies (van der Laan, Dudoit, and Pollard 2004; Storey, Taylor, and Siegmund 2004), and useful methods are available that from a list of p values produce an error rate–controlled short list of rejected null hypotheses (Storey 2003; Benjamini and Yekutieli…”
- An adaptive step-down procedure with proven FDR control under independence (2009, methodology): “The procedures compared are the multiple-stage stepdown procedure, the two-stage BH procedure, the modified Storey’s procedure in [10], which we call the adaptive λ-based step-up procedure (hereafter referred to as the STS procedure), and two additional procedures that serve as benchmarks for compar”
- Statistical significance for genomewide studies (2003, methodology): “The proofs of these claims follow from minor modifications to some of the main results in [18].”