Generalized Augmentation to Control the False Discovery Exceedance in Multiple Testing
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Publication:3552969
DOI10.1111/j.1467-9469.2008.00633.xzbMath1189.62116OpenAlexW1985788691WikidataQ59397211 ScholiaQ59397211MaRDI QIDQ3552969
Publication date: 22 April 2010
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9469.2008.00633.x
Related Items (6)
Simultaneous Statistical Inference in Dynamic Factor Models ⋮ MMCTest-A Safe Algorithm for Implementing Multiple Monte Carlo Tests ⋮ Error rates for multivariate outlier detection ⋮ Sample size calculation for controlling false discovery proportion ⋮ Only closed testing procedures are admissible for controlling false discovery proportions ⋮ New procedures controlling the false discovery proportion via Romano-Wolf's heuristic
Uses Software
Cites Work
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- Exceedance Control of the False Discovery Proportion
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
- Negative association of random variables, with applications
- Multiple hypotheses testing and expected number of type I errors
- Stepup procedures controlling generalized FWER and generalized FDR
- Adapting to unknown sparsity by controlling the false discovery rate
- Generalizations of the familywise error rate
- Adaptive linear step-up procedures that control the false discovery rate
- A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion
- False Discovery Control for Random Fields
- A Direct Approach to False Discovery Rates
- Operating Characteristics and Extensions of the False Discovery Rate Procedure
- Variance of the Number of False Discoveries
- Some Results on the Control of the False Discovery Rate under Dependence
- A Generalized Sidak-Holm Procedure and Control of Generalized Error Rates under Independence
- A Multivariate Exponential Distribution
- Nearest neighbor pattern classification
- Association of Random Variables, with Applications
- Empirical Bayes and Resampling Based Multiple Testing Procedure Controlling Tail Probability of the Proportion of False Positives.
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