Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.
Ostropolets A, Albogami Y, Conover M, Banda J, Baumgartner W, Blacketer C, Desai P, DuVall S, Fortin S, Gilbert J, Golozar A, Ide J, Kanter A, Kern D, Kim C, Lai L, Li C, Liu F, Lynch K, Minty E, Neves M, Ng D, Obene T, Pera V, Pratt N, Rao G, Rappoport N, Reinecke I, Saroufim P, Shoaibi A, Simon K, Suchard M, Swerdel J, Voss E, Weaver J, Zhang L, Hripcsak G, Ryan P. Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. Journal Of The American Medical Informatics Association 2023, 30: 859-868. PMID: 36826399, PMCID: PMC10114120, DOI: 10.1093/jamia/ocad009.Peer-Reviewed Original ResearchConceptsObservational studyCohort definitionsPatient characteristicsImpact patient careCohort sizeFree-text descriptionsPatient careTeam's interpretationClinical codingInclusion criteriaPatient overlapResearch teamMedian agreementInvestigate discordanceTeamCohortBaseline characteristicsQualified researchersAnalytical codePatientsCareImplementationStudyBaseline
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