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A Variance-Based Sensitivity Analysis Approach for Identifying Interactive Exposures

Statistics in Biosciences(2024)10.1007/s12561-024-09427-8Source: DataRank Database

A Variance-Based Sensitivity Analysis Approach for Identifying Interactive Exposures is a research paper published in Statistics in Biosciences (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 (1 grants)Impact (FWCI 0.00)OA: greenTopics (20)IDs (PubMed, PMC, 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 (5)

Boya Zhang ORCID,Anna Birukov ORCID,Cuilin Zhang ORCID,Chen Zhen ORCID,Ruijin Lu ORCID

Live enrichment

PubMed:41018804 PMC:PMC12462857 OpenAlex:https://openalex.org/W4396545415

Intramural NIH HHS

Grant: ZIA HD009013

FWCI

0.00

Citation Percentile

0.0%

greenLicense: https://www.springernature.com/gp/researchers/text-and-data-mining

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12462857/pdf/nihms-2109986.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s12561-024-09427-8.pdf

publisherhttps://link.springer.com/article/10.1007/s12561-024-09427-8/fulltext.html

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12462857

Fields of Study

Per- and polyfluoroalkyl substances researchHealth, Environment, Cognitive AgingEffects and risks of endocrine disrupting chemicals

Keywords

InterpretabilityComputer scienceMachine learningVariance (accounting)Data miningSensitivity (control systems)Bayesian probabilityCluster analysisEconometricsArtificial intelligenceStatisticsMathematicsEngineeringInteractionSensitivity analysisChemical MixtureGaussian Process Regression