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Flexible evaluation of surrogate markers with Bayesian model averaging

Statistics in Medicine(2023)10.1002/sim.9986Source: DataRank Database

Flexible evaluation of surrogate markers with Bayesian model averaging is a research paper published in Statistics in Medicine (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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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 0.57)OA: greenTopics (29)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (2)

Layla Parast ORCID,Yunshan Duan ORCID

Live enrichment

PubMed:38081586 PMC:PMC10897582 OpenAlex:https://openalex.org/W4389619653

Division of Diabetes, Endocrinology, and Metabolic Diseases

Grant: R01DK118354

FWCI

0.57

Citation Percentile

0.7%

Citation Trend

2024

greenLicense: http://onlinelibrary.wiley.com/termsAndConditions#vor

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10897582/pdf/nihms-1968824.pdf

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9986

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10897582

journalhttps://doi.org/10.1002/sim.9986

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of Life

MeSH Terms

Bayes TheoremComputer SimulationDiabetes MellitusHumansBiomarkersSample Size

Keywords

Nonparametric statisticsComputer scienceSurrogate endpointSample size determinationBayesian probabilityInferenceParametric statisticsSurrogate modelSurrogate dataBayesian inferenceFlexibility (engineering)EconometricsMachine learningArtificial intelligenceStatisticsMathematicsMedicineSurrogate MarkerProportion Of Treatment EffectBayesian Model Averaging

Sustainable Development Goals

SDG 0: Good health and well-being