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ℓ1$$ {\ell}_1 $$‐Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes

Statistics in Medicine(2024)10.1002/sim.10263Source: DataRank Database

ℓ1$$ {\ell}_1 $$‐Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes is a research paper published in Statistics in Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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Linked data & code

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes · arXiv

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 1.63)OA: bronzeTopics (36)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Linked datasets

Reusable (0/3)

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Authors (4)

Henry Rusinek ORCID,Arjun V. Masurkar ORCID,Yang Feng ORCID,Ye Ella Tian ORCID

Live enrichment

PubMed:39532663 PMC:PMC12173429 OpenAlex:https://openalex.org/W4404345839

National Science Foundation of Sri Lanka

Grant: DMS‐2324489

National Institutes of Health

Grant: 1R21AG074205‐01

National Institutes of Health

Grant: P30AG066512

NIH HHS

Grant: 1R21AG074205-01

NIA NIH HHS

Grant: R21 AG074205

National Science Foundation

Grant: DMS-2324489

FWCI

1.63

Citation Percentile

0.9%

Citation Trend

2025

bronzeLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.10263

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.10263

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.10263

journalhttps://doi.org/10.1002/sim.10263

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39532663

Fields of Study

Statistical Methods and InferenceStatistical Methods and Bayesian InferenceBayesian Methods and Mixture Models

MeSH Terms

Computer SimulationDementiaHumansRegression AnalysisRisk FactorsModels, StatisticalConfidence IntervalsLogistic ModelsDisease Progression

Keywords

Multinomial logistic regressionDebiasingInferenceRobustness (evolution)Logistic regressionEconometricsComputer scienceStatisticsMultinomial distributionRegressionConfidence intervalContrast (vision)MathematicsArtificial intelligencePsychologyDementiastatistical inferenceHypothesis TestingModel MisspecificationDebiased LassoPenalized Multinomial Regression ModelsHigh‐Dimensional StatisticsP$$ P $$ ValuesNon‐identically Distributed Data

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

$\ell_1$-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes

10.48550/arxiv.2302.02310arXiv