On simultaneous calibration of two-sample t-tests for high-dimension low-sample-size data

DOI10.5705/ss.202018.0467zbMath1475.62216OpenAlexW3037062991MaRDI QIDQ5155183

Chunming Zhang, Shengji Jia, Yong-Feng Wu

Publication date: 6 October 2021

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202018.0467

zbMATH Keywords

skewnessfamilywise error ratesimultaneous inferencemultiple hypothesis testingoverall significance level

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Phase transition and regularized bootstrap in large-scale \(t\)-tests with false discovery rate control
• The control of the false discovery rate in multiple testing under dependency.
• Multiple testing via \(\mathrm{FDR}_L\) for large-scale imaging data
• An empirical Bayes testing procedure for detecting variants in analysis of next generation sequencing data
• Adaptive linear step-up multiple testing procedure with the bias-reduced estimator
• Generalizations of the familywise error rate
• A general framework for multiple testing dependence
• FDR control in multiple testing under non-normality
• Adaptive linear step-up procedures that control the false discovery rate
• To How Many Simultaneous Hypothesis Tests Can Normal, Student'stor Bootstrap Calibration Be Applied?
• Modified t Tests and Confidence Intervals for Asymmetrical Populations
• Adaptive and Dynamic Adaptive Procedures for False Discovery Rate Control and Estimation
• Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• Large-Scale Simultaneous Hypothesis Testing
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL