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Incorporating machine learning into factor mixture modeling: Identification of covariate interactions to explain population heterogeneity

Methodology(2023)10.5964/meth.9487Source: DataRank Database

Incorporating machine learning into factor mixture modeling: Identification of covariate interactions to explain population heterogeneity is a research paper published in Methodology (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: goldTopics (35)IDs (PubMed, OpenAlex)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Tonghui Xu ORCID,Jiabin Shen ORCID,Yan Wang ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W4387140414

National Institutes of Health

Grant: 5R00HD093814-05

Virtual Reality-based Rehabilitation for Children with Traumatic Brain Injuries

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://meth.psychopen.eu/index.php/meth/article/download/9487/9487.pdf

publisherhttps://meth.psychopen.eu/index.php/meth/article/download/9487/9487.pdf

publisherhttps://meth.psychopen.eu/index.php/meth/article/view/9487/9487.html

journalhttp://dx.doi.org/10.5964/meth.9487

repositoryhttps://doaj.org/article/c4eee871604843f59eaed764d5892b9f

Fields of Study

Traffic and Road SafetyStatistical Methods and Bayesian InferenceStatistical Methods in Epidemiology03 medical and health sciences0302 clinical medicine0504 sociology05 social sciences

Keywords

CovariateMultinomial logistic regressionLogistic regressionPopulationIdentification (biology)EconometricsLatent class modelClass (philosophy)Computer scienceStatisticsStructural equation modelingMixture modelLatent variableRegression analysisArtificial intelligenceMachine learningMathematicsBiologyMedicineEcologyEnvironmental healthstructural equation model trees150Psychologyinteractionlatent classfactor mixture modelBF1-990