Multiple Testing of Composite Null Hypotheses in Heteroscedastic Models

Type: Article

Publication Date: 2012-06-01

Citations: 35

DOI: https://doi.org/10.1080/01621459.2012.664505

Locations

  • Journal of the American Statistical Association - View

Similar Works

Action Title Year Authors
+ PDF Chat Testing the Effects of High-Dimensional Covariates via Aggregating Cumulative Covariances 2022 Runze Li
Kai Xu
Yeqing Zhou
Li Zhu
+ Estimation of false discovery proportion in multiple testing: From normal to chi-squared test statistics 2017 Lilun Du
Chunming Zhang
+ Regarding Paper “Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures” by Xiongzhi Chen, Rebecca W. Doerge, and Joseph F. Heyse 2020 Aniket Biswas
+ Capturing the Severity of Type II Errors in High-Dimensional Multiple Testing 2014 Li He
Sanat K. Sarkar
Zhigen Zhao
+ Capturing the severity of type II errors in high-dimensional multiple testing 2015 Li He
Sanat K. Sarkar
Zhigen Zhao
+ Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies 2023 Ryan Sun
Zachary R. McCaw
Xihong Lin
+ A Compound Decision-Theoretic Approach to Large-Scale Multiple Testing 2010 Tommaso Cai
Wenguang Sun
+ PDF Chat Joint mirror procedure: controlling false discovery rate for identifying simultaneous signals 2024 Linsui Deng
Kejun He
Xianyang Zhang
+ PDF Chat Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies 2024 Ryan Sun
Zachary R. McCaw
Xihong Lin
+ Multiple testing of partial conjunction null hypotheses, with application to replicability analysis of high dimensional studies 2021 Thorsten Dickhaus
Ruth Heller
Anh Tuan Hoang
+ PDF Chat Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks 2009 Tommaso Cai
Wenguang Sun
+ PDF Chat Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice 2019 Frank Emmert‐Streib
Matthias Dehmer
+ PARAMETRIC CONTROL OF FAMILYWISE ERROR RATES WITH DEPENDENT P-VALUES 2008 Richard E. Blakesley
+ Model Selection Principles and False Discovery Rate Control 2016 Pallavi Basu
+ PDF Chat A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models 2023 Yinrui Sun
Li Ma
Xia Yin
+ Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals 2023 Linsui Deng
Kejun He
Xianyang Zhang
+ Unification of Rare/Weak Detection Models using Moderate Deviations Analysis and Log-Chisquared P-values 2021 Alon Kipnis
+ Searching for subgroup-specific associations while controlling the false discovery rate 2022 Matteo Sesia
Tianshu Sun
+ Aggregating Dependent Signals with Heavy-Tailed Combination Tests 2023 Lin Gui
Yuchao Jiang
Jingshu Wang
+ An efficient and flexible multiplicity adjustment for chi-square endpoints 2021 Amy Wagler
Melinda H. McCann