ArticleBiometrika2016
An adaptive two-sample test for high-dimensional means.
Article in Biometrika, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hybrid test for publication bias in meta-analysis.Statistical methods in medical research · 2020Pooled it
- Flexible nonparametric assessment of time-lag bias in meta-analysis.Biostatistics (Oxford, England) · 2026Article
- Alternative tests and measures for between-study inconsistency in meta-analysis.BMC medical research methodology · 2025Article
- Power-enhanced two-sample mean tests for high-dimensional microbiome compositional data.Biometrics · 2025Article
- A unified combination framework for dependent tests with applications to microbiome association studies.Biometrics · 2025Article
- High-dimensional multivariate analysis of variance via geometric median and bootstrapping.Biometrics · 2024Article
- A Blockwise Bootstrap-Based Two-Sample Test for High-Dimensional Time Series.Entropy (Basel, Switzerland) · 2024Article
- Projection Test for Mean Vector in High Dimensions.Journal of the American Statistical Association · 2024Article
- Nonparametric two-sample tests of high dimensional mean vectors via random integration.Journal of the American Statistical Association · 2024Article
- Finite sample t-tests for high-dimensional means.Journal of multivariate analysis · 2023Article
- Article
- Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling.Biometrics · 2022Article
- Linear Hypothesis Testing in Linear Models With High-Dimensional Responses.Journal of the American Statistical Association · 2022Article
- Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.PLoS computational biology · 2021Article
- ASYMPTOTICALLY INDEPENDENT U-STATISTICS IN HIGH-DIMENSIONAL TESTING.Annals of statistics · 2021Article
- A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models.Journal of machine learning research : JMLR · 2020Article
- FunSPU: A versatile and adaptive multiple functional annotation-based association test of whole-genome sequencing data.PLoS genetics · 2019Article
- Interpretable High-Dimensional Inference Via Score Projection with an Application in Neuroimaging.Journal of the American Statistical Association · 2018Article
- Adaptive testing for association between two random vectors in moderate to high dimensions.Genetic epidemiology · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Several two-sample tests for high-dimensional data have been proposed recently, but they are powerful only against certain limited alternative hypotheses. In practice, since the true alternative hypothesis is unknown, it is unclear how to choose a powerful test. We propose an adaptive test that maintains high power across a wide range of situations, and study its asymptotic properties. Its finite sample performance is compared with existing tests. We apply it and other tests to detect possible associations between bipolar disease and a large number of single nucleotide polymorphisms on each chromosome based on a genome-wide association study dataset. Numerical studies demonstrate the superior performance and high power of the proposed test across a wide spectrum of applications.
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