Stepwise normal theory multiple test procedures controlling the false discovery rate

By J. Troendle. 2000

52 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/adcfa3752be34149ddd5599078306768c1ca7cea

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

Controlling the false discovery rate in behavior genetics research. (2001, background): “Troendle [13] designs procedures for the special case where many comparisons are made with a single control.”
Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review (2011, background): “Although other FDR procedures guaranteed to work for arbitrary test dependence relations exist, their utility is limited by their overconservativeness (e.g., BY) or the fact that they guarantee only asymptotic FDR control (e.g., Troendle, 2000).”
Multiple hypothesis testing in genomics (2014, methodology): “Romano, Shaikh and Wolf [62], building on earlier work by Troendle [63] that had restrictive parametric assumptions, proposed a method that uses the bootstrap instead of permutations to control FDR asymptotically.”
Using false discovery rates for multiple comparisons in ecology and evolution (2011, methodology): “Troendle (2000) pointed out that applying the same terminology of ‘adjusted P-value’ to procedures that control different quantities (FDRs vs. false rejections of null hypotheses) may lead to confusion, and suggested that the term ‘adjusted FDRvalue’ could be usefully employed.”
Escaping the Bonferroni iron claw in ecological studies (2004, methodology): “Additionally, FDR may account for the exact dependence structure of the data, via resampling-based procedures (Yekutieli and Benjamini 1999) or under the normal assumption (Troendle 2000).”
Control of the false discovery rate under dependence using the bootstrap and subsampling (2008, methodology): “The bootstrap method succeeds in generalizing Troendle (2000) to allow for non-normality.”
On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics (2000, methodology): “This approach was emphasized by Tukey (1991), discussed and reviewed in Benjamini et al. (1998), and its extension to the FDR criterion can also be found in Williams et al. (1999): They define a proportion counting the relative number of directional errors among the rejections.”