Evidence map›Paper›PMID 37334164›Full record

ArticleStatistical modelling2023

Canonical correlation analysis in high dimensions with structured regularization.

Elena Tuzhilina, Leonardo Tozzi, Trevor Hastie

Abstract read
In one paragraph

Article in Statistical modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Predicting Outcomes of Preterm Neonates Post Intraventricular Hemorrhage.International journal of molecular sciences · 2024
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elena TuzhilinaDepartment of Statistics, Stanford University, Stanford, CA, USA.
Leonardo TozziDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Trevor HastieDepartment of Statistics, Stanford University, Stanford, CA, USA.

Funding

New Statistical Methods for Medical Signals and ImagesR01EB001988 · NIBIB · STANFORD UNIVERSITY · PI JOHNSTONE, IAIN M · 2003 to 2018
$6.1M
Mapping connectomes for disordered emotional statesU01MH109985 · NIMH · STANFORD UNIVERSITY · PI WILLIAMS, LEANNE · 2017 to 2020
$3.1M
NIBIB NIH HHS R01 EB001988NIMH NIH HHS U01 MH109985
6 · The paper itself

Abstract

Canonical correlation analysis (CCA) is a technique for measuring the association between two multivariate data matrices. A regularized modification of canonical correlation analysis (RCCA) which imposes an

Indexed as

canonical correlation analysisgroup penaltyhigh dimensionsregularizationstructured data

Identifiers

PMID37334164
PMCPMC10274416

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.