ArticleJournal of the American Statistical Association2015
A Two-Sample Test for Equality of Means in High Dimension.
Article in Journal of the American Statistical Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- A Blockwise Bootstrap-Based Two-Sample Test for High-Dimensional Time Series.Entropy (Basel, Switzerland) · 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
- Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion.Statistics in medicine · 2021Article
- Small sample sizes: A big data problem in high-dimensional data analysis.Statistical methods in medical research · 2021Article
- ASYMPTOTICALLY INDEPENDENT U-STATISTICS IN HIGH-DIMENSIONAL TESTING.Annals of statistics · 2021Article
- Article
- Testing for Marginal Linear Effects in Quantile Regression.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2018Article
- A Powerful Bayesian Test for Equality of Means in High Dimensions.Journal of the American Statistical Association · 2018Article
- An adaptive two-sample test for high-dimensional means.Biometrika · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
We develop a test statistic for testing the equality of two population mean vectors in the "large-p-small-n" setting. Such a test must surmount the rank-deficiency of the sample covariance matrix, which breaks down the classic Hotelling
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.