F-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing
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Publication:5375951
DOI10.1080/10485252.2018.1461867zbMath1403.62138OpenAlexW2804067219MaRDI QIDQ5375951
Publication date: 17 September 2018
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2018.1461867
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
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Cites Work
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- On the second-order properties of empirical likelihood with moment restrictions
- The sequential rejection principle of familywise error control
- Empirical likelihood ratio confidence regions
- Adjusted empirical likelihood with high-order precision
- Empirical likelihood and general estimating equations
- On the accuracy of empirical likelihood confidence regions for linear regression model
- Multiple hypothesis testing in microarray experiments.
- The control of the false discovery rate in multiple testing under dependency.
- Calibration of the empirical likelihood method for a vector mean
- Empirical likelihood is Bartlett-correctable
- Significance analysis of microarrays applied to the ionizing radiation response
- Adaptive FDR control under independence and dependence
- Simultaneous and selective inference: Current successes and future challenges
- 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
- Empirical likelihood ratio confidence intervals for a single functional
- A Problem in Geometric Probability.
- The Generalization of Student's Ratio
- Adaptive and Dynamic Adaptive Procedures for False Discovery Rate Control and Estimation
- Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
- Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators
- Finite-sample properties of the adjusted empirical likelihood
- Statistical significance for genomewide studies
- Large-Scale Simultaneous Hypothesis Testing
- Multiple testing for exploratory research
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