Adaptive linear step-up procedures that control the false discovery rate

By Yoav Benjamini, Abba M. Krieger, D. Yekutieli. 2006

3,076 citations recorded by the source corpus.

Subfields: Biophysics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/715580a7be4c1945b2ab608bd43dd4f718587643

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In Biophysics

In Management Science and Operations Research

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Citations in the corpus

Optimal weighting for false discovery rate control (2008, methodology): “The procedure [LSU ⋆ ] is performed to compare with quite recent developments on π 0 -adaptive procedures (see e.g. Benjamini et al. (2006)).”
Data-driven hypothesis weighting increases detection power in genome-scale multiple testing (2016, methodology): “As a ⇡0 estimator, the TST estimator [2] and the LSL estimator [29] were suggested.”
Geographic patterns of co-occurrence network topological features for soil microbiota at continental scale in eastern China (2016, methodology): “We adjusted all P-values for multiple testing using the Benjamini and Hochberg false discovery rate (FDR) controlling procedure (Benjamini et al., 2006), as implemented in themulttest R package.”
Proportion of non‐zero normal means: universal oracle equivalences and uniformly consistent estimators (2008, methodology): “To conclude this section, we mention that there are many other procedures that more or less depend on the proportion, e.g. Benjamini et al. (2005).”
Split-Sample Strategies for Avoiding False Discoveries (2017, methodology): “…rejection-region FWER control method in the spirit of Romano and Wolf (2005) that leverages the known correlation structure of our DGP. 25To run these simulations we apply the adaptive step-up FDR control procedure from Benjamini et al. (2006) rather than the Holm FWER control sharpening procedure.”
Impact of Village Savings and Loan Associations: Evidence from a cluster randomized trial (2016, background): “Benjamini et al. (2006), as explained in Anderson (2008), show how to improve power further.”
Two simple sufficient conditions for FDR control (2008, methodology): “…e Because this function is now data-dependent, establishing FDR control for the resulting procedure is more delicate; it is the subject of numerous recent works (see, e.g., Black, 2004; Benjamini et al., 2006; Finner et al., 2008; see also Gavrilov et al., 2008 for an adaptive step-down procedure).”
The Persistent Power of Behavioral Change: Long-Run Impacts of Temporary Savings Subsidies for the Poor (2018, methodology): “Figure 3 graphs standard p-values in my main analysis as compared to sharpened q-values that control the false discovery rate (FDR).22 I follow Anderson (2008) and use the two-step procedure described by Benjamini et al. (2006) to calculate q-values.”