2025
How Should Meaningful Evidence Be Generated From Datasets?
Morton C, Rentsch C. How Should Meaningful Evidence Be Generated From Datasets? The AMA Journal Of Ethic 2025, 27: e27-33. PMID: 39745911, DOI: 10.1001/amajethics.2025.27.Peer-Reviewed Original Research
2024
Four targets: an enhanced framework for guiding causal inference from observational data
Lu H, Li F, Lesko C, Fink D, Rudolph K, Harhay M, Rentsch C, Fiellin D, Gonsalves G. Four targets: an enhanced framework for guiding causal inference from observational data. International Journal Of Epidemiology 2024, 54: dyaf003. PMID: 39868475, PMCID: PMC11769716, DOI: 10.1093/ije/dyaf003.Peer-Reviewed Original ResearchMeSH KeywordsBuprenorphineCausalityHumansObservational Studies as TopicOpioid-Related DisordersResearch DesignCore Concepts in Pharmacoepidemiology: Quantitative Bias Analysis
Brown J, Hunnicutt J, Ali M, Bhaskaran K, Cole A, Langan S, Nitsch D, Rentsch C, Galwey N, Wing K, Douglas I. Core Concepts in Pharmacoepidemiology: Quantitative Bias Analysis. Pharmacoepidemiology And Drug Safety 2024, 33: e70026. PMID: 39375940, DOI: 10.1002/pds.70026.Peer-Reviewed Original ResearchMeSH KeywordsBiasConfounding Factors, EpidemiologicData Interpretation, StatisticalHumansPharmacoepidemiologyResearch DesignSelection BiasConceptsQuantitative bias analysisBias analysisValidity of study findingsPharmacoepidemiological studiesRobustness of studiesEffects of medicationStudy designEffect estimatesResidual biasStudy findingsSelection biasConfoundingEstimated effectsPotential biasPharmacoepidemiologyBiasMedicationCore conceptsStudyMeasurement errorOpenSAFELY: A platform for analysing electronic health records designed for reproducible research
Nab L, Schaffer A, Hulme W, DeVito N, Dillingham I, Wiedemann M, Andrews C, Curtis H, Fisher L, Green A, Massey J, Walters C, Higgins R, Cunningham C, Morley J, Mehrkar A, Hart L, Davy S, Evans D, Hickman G, Inglesby P, Morton C, Smith R, Ward T, O'Dwyer T, Maude S, Bridges L, Butler‐Cole B, Stables C, Stokes P, Bates C, Cockburn J, Hester F, Parry J, Bhaskaran K, Schultze A, Rentsch C, Mathur R, Tomlinson L, Williamson E, Smeeth L, Walker A, Bacon S, MacKenna B, Goldacre B. OpenSAFELY: A platform for analysing electronic health records designed for reproducible research. Pharmacoepidemiology And Drug Safety 2024, 33: e5815-e5815. PMID: 38783412, PMCID: PMC7616137, DOI: 10.1002/pds.5815.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19Electronic Health RecordsHumansReproducibility of ResultsResearch DesignSoftwareConceptsElectronic health recordsHealth recordsComputing environmentProgram codeSoftware platformAdministrative health dataAnalysis environmentAudit trailReproducibility of researchReproducible researchData preparationPublic sharingPublic health guidanceHealth dataHealth guidanceCodeOpenSAFELYTechnical solutionsPlatformPromote trustCOVID-19 pandemicIncrease transparencyCode-sharingWorkflowData
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