ArticleJournal of the American Statistical Association2011
A regularized Hotelling's
Article in Journal of the American Statistical Association, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Exploratory plasma proteomic analysis in a randomized crossover trial of aspirin among healthy men and women.PloS one · 2017Trial
- A Regularized MANOVA Test for Semicontinuous High-Dimensional Data.Biometrical journal. Biometrische Zeitschrift · 2025Article
- A framework for analyzing EEG data using high-dimensional tests.Bioinformatics (Oxford, England) · 2025Article
- TESTING HIGH-DIMENSIONAL REGRESSION COEFFICIENTS IN LINEAR MODELS.Annals of statistics · 2024Article
- Finite sample t-tests for high-dimensional means.Journal of multivariate analysis · 2023Article
- Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis.Experimental & molecular medicine · 2022Article
- Multiomic analysis identifies CPT1A as a potential therapeutic target in platinum-refractory, high-grade serous ovarian cancer.Cell reports. Medicine · 2021Article
- Article
- A selective overview of feature screening for ultrahigh-dimensional data.Science China. Mathematics · 2015Article
- A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation.Biometrics · 2014Article
- Power calculation for overall hypothesis testing with high-dimensional commensurate outcomes.Statistics in medicine · 2014Article
- Feature Screening via Distance Correlation Learning.Journal of the American Statistical Association · 2012Article
- Modified TTrends in hearingArticle
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
Recent proteomic studies have identified proteins related to specific phenotypes. In addition to marginal association analysis for individual proteins, analyzing pathways (functionally related sets of proteins) may yield additional valuable insights. Identifying pathways that differ between phenotypes can be conceptualized as a multivariate hypothesis testing problem: whether the mean vector
Indexed as
Identifiers
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.