Evidence map›Paper›PMID 38993393›Full record

ArticleJournal of multivariate analysis2016

Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data.

Priya Kohli, Tanya P Garcia, Mohsen Pourahmadi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of multivariate analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Priya KohliDepartment of Mathematics, Connecticut College, 270 Mohegan Avenue, New London, CT 06320, United States.
Tanya P GarciaDepartment of Epidemiology and Biostatistics, Texas A&M Health Science Center, 1266 TAMU, College Station, TX 77843-1266, United States.
Mohsen PourahmadiDepartment of Statistics, Texas A&M University, 3143 TAMU, College Station, TX 77843-3143, United States.

Funding

Innovative Statistical Models for Development of First Huntington's Disease Progression Risk Assessment ToolK01NS099343 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GARCIA, TANYA PAMELA · 2017 to 2019
$739k
NINDS NIH HHS K01 NS099343
6 · The paper itself

Abstract

Modeling the covariance matrix of multivariate longitudinal data is more challenging as compared to its univariate counterpart due to the presence of correlations among multiple responses. The modified Cholesky

Indexed as

62-0962G62HCholesky decompositionLinear covariance modelMajorization–minimizationPrincipal component analysisQuadratic programming

Identifiers

PMID38993393
PMCPMC11238179

What OpenQuestion holds

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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.