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Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two‐stage composite likelihood

Biometrical Journal(2023)10.1002/bimj.202200029Source: DataRank Database

Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two‐stage composite likelihood is a research paper published in Biometrical Journal (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: hybridTopics (18)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 (3)

Fred A. Wright ORCID,Yi‐Hui Zhou ORCID,Bryan W. Ting

Live enrichment

PubMed:37212427 OpenAlex:https://openalex.org/W4377220704

Foundation for the National Institutes of Health

Grant: R01ES029911

Foundation for the National Institutes of Health

Grant: T32ES007329

FWCI

0.00

Citation Percentile

0.1%

hybridLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bimj.202200029

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bimj.202200029

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202200029

journalhttps://doi.org/10.1002/bimj.202200029

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37212427

Fields of Study

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals

MeSH Terms

PhenotypeProbabilityGenomicsGenome-Wide Association Study

Keywords

HeteroscedasticityInterpretabilityMultivariate statisticsComputer scienceLeverage (statistics)InferenceEconometricsData miningMachine learningArtificial intelligenceMathematics