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Bayesian variable selection in hierarchical difference-in-differences models

Statistical Methods in Medical Research(2021)10.1177/09622802211051087Source: DataRank Database

Bayesian variable selection in hierarchical difference-in-differences models is a research paper published in Statistical Methods in Medical Research (2021). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: greenTopics (44)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

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Accessible (1/2)

Open Access

Interoperable (2/2)

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Reusable (0/3)

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Authors (4)

Eric F. Lock ORCID,Thomas A. Murray ORCID,Caroline Carlin ORCID,James Normington ORCID

Live enrichment

PubMed:34841979 OpenAlex:https://openalex.org/W2980858858

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: R18DK110732

National Institutes of Health

Grant: 1R18DK110732-01

Identifying Primary Care Practice Components Leading to Optimal Diabetes Care in Patient-Centered Medical Homes

FWCI

0.00

Citation Percentile

0.0%

greenLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

repositoryhttps://arxiv.org/pdf/1910.07017

GREENhttps://arxiv.org/pdf/1910.07017

repositoryhttps://arxiv.org/pdf/1910.07017

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/09622802211051087

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/09622802211051087

Fields of Study

Advanced Causal Inference TechniquesStatistical Methods and Bayesian InferenceStatistical Methods and InferenceMathematicsMedicine0101 mathematics01 natural sciencesBayes TheoremCausalityComputer SimulationConfounding Factors, EpidemiologicMinnesota

MeSH Terms

Bayes TheoremComputer SimulationMinnesotaCausalityConfounding Factors, Epidemiologic

Keywords

CovariateBayesian probabilityLeverage (statistics)EconometricsContext (archaeology)UnobservableConfoundingComputer scienceObservational studySelection biasFeature selectionStatisticsMathematicsMachine learningDiabetes mellitusVariable selectionBayesian Hierarchical ModelingDifference-in-differencesPrimary Care RedesignCausalityMethodology (stat.ME)FOS: Computer and information sciencesMinnesotaBayes TheoremComputer SimulationConfounding Factors, EpidemiologicStatistics - Methodology

Sustainable Development Goals

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

sj-pdf-1-smm-10.1177_09622802211051087 - Supplemental material for Bayesian variable selection in hierarchical difference-in-differences models

10.25384/sage.22672442SAGE Journals

sj-pdf-1-smm-10.1177_09622802211051087 - Supplemental material for Bayesian variable selection in hierarchical difference-in-differences models

10.25384/sage.22672442.v1SAGE Journals

Bayesian variable selection in hierarchical difference-in-differences models

10.25384/sage.c.6610766SAGE Journals

Bayesian variable selection in hierarchical difference-in-differences models

10.25384/sage.c.6610766.v1SAGE Journals