2011
Bayesian hierarchical modeling for a non‐randomized, longitudinal fall prevention trial with spatially correlated observations
Murphy TE, Allore HG, Leo‐Summers L, Carlin BP. Bayesian hierarchical modeling for a non‐randomized, longitudinal fall prevention trial with spatially correlated observations. Statistics In Medicine 2011, 30: 522-530. PMID: 21294148, PMCID: PMC3477673, DOI: 10.1002/sim.3912.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAgedAged, 80 and overAlgorithmsBayes TheoremComputer SimulationConnecticutControlled Clinical Trials as TopicEmergency Medical ServicesFemaleHumansLongitudinal StudiesMaleMarkov ChainsModels, StatisticalMonte Carlo MethodPatient Education as TopicPoisson DistributionTreatment OutcomeConceptsNon-randomized designFall prevention trialsPersons 70 yearsCommunity-based health interventionsNon-randomized interventionsRandomization of participantsInjurious fallsPrevention trialsEmergency departmentFall preventionInterventional effectsLongitudinal trialCare areasConnecticut CollaborationHealth interventionsInterventional designHealthcare interventionsMedicaid ServicesOlder adultsIntervention areaSerious injuriesZip codesTrialsInterventionInfluential covariates
2007
Hierarchical models to evaluate translational research: Connecticut collaboration for fall prevention
Murphy TE, Tinetti ME, Allore HG. Hierarchical models to evaluate translational research: Connecticut collaboration for fall prevention. Contemporary Clinical Trials 2007, 29: 343-350. PMID: 18054289, PMCID: PMC2453244, DOI: 10.1016/j.cct.2007.10.004.Peer-Reviewed Original ResearchConceptsHealth care utilizationPre-intervention periodCare utilizationStudy armsFall preventionConnecticut CollaborationFall-related injuriesTranslational studiesHealth SourceOlder personsTranslational researchDemographic characteristicsTemporal trendsSignificant differencesInterventionPreventionPublic health sourcesQuasi-experimental designArmInjuryZCTAs