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Finite Mixture Models with Student t Distributions: an Applied Example

Prevention Science(2020)10.1007/s11121-020-01109-3Source: DataRank Database

Finite Mixture Models with Student t Distributions: an Applied Example is a research paper published in Prevention Science (2020). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.14)OA: greenTopics (53)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (1)

Albert J. Burgess-Hull ORCID

Live enrichment

PubMed:32306224 PMC:PMC7368836 OpenAlex:https://openalex.org/W3016822693

National Institute on Drug Abuse

Grant: P50 DA019706

Intramural NIH HHS

Grant: Z99 DA999999

National Institutes of Health

Grant: 5P50DA019706-08

Healthcare Costs and Utilization of Smoking and Quitting

FWCI

0.14

Citation Percentile

0.6%

Citation Trend

2022

2024

2025

greenLicense: Springer TDM

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7368836

GREENhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368836

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7368836

publisherhttps://link.springer.com/content/pdf/10.1007/s11121-020-01109-3.pdf

publisherhttps://link.springer.com/article/10.1007/s11121-020-01109-3/fulltext.html

Fields of Study

Bayesian Methods and Mixture ModelsStatistical Methods and Bayesian InferenceCensus and Population EstimationComputer ScienceMedicinePsychology0504 sociology05 social sciences0101 mathematics01 natural sciencesBiasHumansModels, StatisticalPreventive MedicineResearchSmoking Cessation

MeSH Terms

HumansPreventive MedicinePsychologyResearchModels, StatisticalBiasSmoking Cessation

Keywords

NormalityMixture modelUnobservableSpurious relationshipExpectation–maximization algorithmComputer sciencePopulationClass (philosophy)Health psychologyLatent class modelIdentification (biology)MathematicsEconometricsApplied mathematicsStatisticsArtificial intelligenceMaximum likelihoodMedicineLatent Profile AnalysisSkew DistributionsFinite Mixture ModelingNon-normal DistributionsT DistributionModels, StatisticalBiasResearchHumansPsychologySmoking CessationPreventive Medicine

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Additional file 1 of Investigating health risk behavior disparities in the United States with finite mixture modeling

10.6084/m9.figshare.27042443.v1figshare

Additional file 1 of Investigating health risk behavior disparities in the United States with finite mixture modeling

10.6084/m9.figshare.27042443figshare

Finite Mixture Models with Student t Distributions: an Applied Example

FAIR Checklist

Authors (1)

Funding (3 grants)

Impact

Open Access

Topics

Linked Datasets (2)

Annotations (Europe PMC)