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High-dimensional inference for functional regression with an application to the Alzheimer’s disease magnetoencephalography study

Biostatistics(2024)10.1093/biostatistics/kxaf050Source: DataRank Database

High-dimensional inference for functional regression with an application to the Alzheimer’s disease magnetoencephalography study is a research paper published in Biostatistics (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: greenTopics (28)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Fei Jiang ORCID,Huaqing Jin ORCID

Live enrichment

PubMed:41437735 OpenAlex:https://openalex.org/W7117240618

NIH

Grant: K25AG071840

NIH

Grant: R01NS132766

FWCI

0.00

Citation Percentile

0.4%

greenLicense: https://academic.oup.com/pages/standard-publication-reuse-rights

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12728160/

publisherhttps://academic.oup.com/biostatistics/article-pdf/26/1/kxaf050/66121136/kxaf050.pdf

journalhttps://doi.org/10.1093/biostatistics/kxaf050

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41437735

Fields of Study

Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchEmotion and Mood RecognitionMagnetoencephalographyBrainAlzheimer DiseaseComputer SimulationRegression AnalysisHumans

MeSH Terms

Alzheimer DiseaseBrainComputer SimulationHumansRegression AnalysisMagnetoencephalography

Keywords

MagnetoencephalographyInferenceCovariateRegressionFeature selectionSelection (genetic algorithm)Causal inferenceModality (human–computer interaction)Regression analysisAlzheimer’s diseaseB-splinegeneralized functional linear modelneuroimaging data