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Robust estimation in the nested case‐control design under a misspecified covariate functional form

Statistics in Medicine(2020)10.1002/sim.8775Source: DataRank Database

Robust estimation in the nested case‐control design under a misspecified covariate functional form is a research paper published in Statistics in Medicine (2020). On theSindex it has a DataRank of 0. It has been cited 2 times.

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2 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 0.40)OA: closedTopics (29)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Daniel L. Gillen ORCID,Michelle M. Nuño ORCID

Live enrichment

PubMed:33105514 OpenAlex:https://openalex.org/W3093513744

National Institutes of Health

Grant: P30AG066519

National Institutes of Health

Grant: R01AG053555

National Science Foundation

Grant: DGE‐1321846

FWCI

0.40

Citation Percentile

0.6%

Citation Trend

2020

2021

closedLicense: http://onlinelibrary.wiley.com/termsAndConditions#am

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8775

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.8775

publisherhttps://onlinelibrary.wiley.com/doi/am-pdf/10.1002/sim.8775

journalhttps://doi.org/10.1002/sim.8775

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33105514

Fields of Study

Statistical Methods in Clinical TrialsStatistical Methods and InferenceStatistical Methods and Bayesian InferenceCase-Control StudiesCausalityComputer SimulationHumansProbabilityProportional Hazards Models

MeSH Terms

Computer SimulationHumansProbabilityCausalityProportional Hazards ModelsCase-Control Studies

Keywords

CovariateEstimatorEconometricsComputer scienceInferenceStatisticsProportional hazards modelSpecificationMathematicsArtificial intelligenceFunctional FormModel MisspecificationNested Case-controlEfficient Sampling