2025
Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke
Sun S, Lomachinsky V, Smith L, Newhouse J, Westover M, Blacker D, Schwamm L, Haneuse S, Moura L. Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke. Neurology Clinical Practice 2025, 15: e200452. PMID: 40144887, PMCID: PMC11936338, DOI: 10.1212/cpj.0000000000200452.Peer-Reviewed Original ResearchFall-related injuriesRisk of fallsOlder adultsAcute ischemic strokeRisk differenceAcute ischemic stroke admissionsElectronic health recordsHypothetical randomized trialInverse probability weightingIschemic strokeRecovery periodHealth recordsBenzodiazepine initiationPoststroke periodConfounding biasImmortal timeMild strokeBenzodiazepine prescriptionsBZD useDay of admissionProbability weightingSubgroup analysisAnalyzed dataStrokeAdultsAddressing selection bias in cluster randomized experiments via weighting
Papadogeorgou G, Liu B, Li F, Li F. Addressing selection bias in cluster randomized experiments via weighting. Biometrics 2025, 81: ujaf013. PMID: 40052595, DOI: 10.1093/biomtc/ujaf013.Peer-Reviewed Original ResearchConceptsCluster-randomized experimentCluster randomized trialAverage treatment effectSelection biasInverse probability weightingOverall populationTreatment effectsCo-paymentControl armRecruited populationProbability weightingRandomized experimentRandomized trialsPopulationEstimation strategyTreatment assignmentIndividualsRecruitment assumptionR packageOverallAnalysis approachInterventionRecruitment
2024
Inverse probability weighting to estimate impacts of hypothetical occupational limits on radon exposure to reduce lung cancer
Keil A, Li Y, Lan Q, Bertke S, Daniels R, Edwards J, Kelly-Reif K. Inverse probability weighting to estimate impacts of hypothetical occupational limits on radon exposure to reduce lung cancer. American Journal Of Epidemiology 2024, 194: 1295-1303. PMID: 39168837, PMCID: PMC11973934, DOI: 10.1093/aje/kwae299.Peer-Reviewed Original ResearchHealthy worker survivor biasInverse probability weightingCumulative risk of lung cancerReduce lung cancer mortalitySurvivor biasRisk of lung cancerLung cancer mortalityReduce lung cancerRadon exposureProbability weightingWorking level monthsHealth effectsHealth outcomesCancer mortalityOccupational cohortOccupational limitsCumulative riskLung cancerHealthInverse probabilityUS Mine SafetyWorkersCancerAnnual standardEstimated impactImpact of Multiarterial Revascularization on Long-term Major Adverse Cardiovascular Events After Coronary Bypass in 23,798 Patients
Jameie M, Valinejad K, Pashang M, Jameie M, Bagheri J, Soleimani H, Jalali A, Mehrabanian M, Nayebirad S, Abbasi K, Masoudkabir F, Tajdini M, Mehrani M, Movahedi N, Hameed I, Hosseini K, Gaudino M. Impact of Multiarterial Revascularization on Long-term Major Adverse Cardiovascular Events After Coronary Bypass in 23,798 Patients. The Annals Of Thoracic Surgery 2024, 118: 863-872. PMID: 39009058, DOI: 10.1016/j.athoracsur.2024.06.034.Peer-Reviewed Original ResearchInverse probability weightingRisks of study outcomesAssociated with reduced riskRisk factorsCovariate-adjusted modelsPatient subgroupsAll-Cause MortalitySingle-center retrospective cohort studyCardiovascular risk factorsLong-term major adverse cardiovascular eventsAdverse cardiocerebrovascular eventsMajor adverse cardiovascular eventsRetrospective cohort studyRisk of adverse eventsAdverse cardiovascular eventsArtery Bypass GraftingCohort studyPost-surgery outcomesSaphenous vein graftsStudy outcomesStudy populationCrude mortalityCardiocerebrovascular eventsProbability weightingUnivariate levelTransporting randomized trial results to estimate counterfactual survival functions in target populations
Cao Z, Cho Y, Li F. Transporting randomized trial results to estimate counterfactual survival functions in target populations. Pharmaceutical Statistics 2024, 23: 442-465. PMID: 38233102, DOI: 10.1002/pst.2354.Peer-Reviewed Original ResearchSurvival functionFinite-sample performanceSample average treatment effectApproximate variance estimatorsIncorrect model specificationAverage treatment effectRight censoringDistributions of treatment effect modifiersVariance estimationInverse probability weightingSimulation studyRobust estimationComplex surveysAverage treatmentProbability weightingTreatment effect modifiersEstimationTreatment effectsModel specificationCensoringTarget populationDifferential distributionSurvey weightsEffect modifiersFunction
2023
Incidence of long COVID and associated psychosocial characteristics in a large U.S. city
Tsai J, Grace A, Espinoza R, Kurian A. Incidence of long COVID and associated psychosocial characteristics in a large U.S. city. Social Psychiatry And Psychiatric Epidemiology 2023, 59: 611-619. PMID: 37606649, DOI: 10.1007/s00127-023-02548-3.Peer-Reviewed Original ResearchPost-COVID syndromeLong COVIDLab-confirmed casesCOVID-19Public health issueMultivariable analysisInverse probability weightingMore symptomsCoronavirus diseasePsychosocial characteristicsSymptomsHealth issuesPopulation healthPsychosocial correlatesSame symptomsMonthsCOVIDIncidenceSocial supportTotal sampleOne-fifthAdultsProbability weightingParticipantsComprehensive examination
2022
Missing Data
Tong G, Li F, Allen A. Missing Data. 2022, 1681-1701. DOI: 10.1007/978-3-319-52636-2_117.Peer-Reviewed Original ResearchLikelihood-based analysisMissingness modelMissingness processData mechanismAverage treatment effectStatistical methodsComplete case analysisConsistent estimatesRobust approachInverse probability weightingBiased estimatesMissingnessOutcome distributionModeling approachProbability weightingData processSensitivity analysisOutcome modelModelEstimatesBrief discussionPractical considerationsInferenceApproachImputation
2019
Propensity score weighting for causal inference with multiple treatments
Li F, Li F. Propensity score weighting for causal inference with multiple treatments. The Annals Of Applied Statistics 2019, 13: 2389-2415. DOI: 10.1214/19-aoas1282.Peer-Reviewed Original ResearchGeneralized propensity scoreInverse probability weightingSandwich variance estimatorOverlap weightingProbability weightingEstimate causal effectsCausal effectsCovariate distributionsVariance estimationBalance weightTarget estimandWeight estimationLinear contrastsMultiple groupsWeighting frameworkHarmonic meanMedical Expenditure Panel SurveyTrim weightEstimationEstimandsWeighting schemeMultiple treatmentsTarget populationHealth services researchPropensity scoreMissing Data
Tong G, Li F, Allen A. Missing Data. 2019, 1-21. DOI: 10.1007/978-3-319-52677-5_117-1.Peer-Reviewed Original ResearchLikelihood-based analysisMissingness modelMissingness processData mechanismAverage treatment effectStatistical methodsComplete case analysisConsistent estimatesRobust approachInverse probability weightingBiased estimatesMissingnessOutcome distributionModeling approachProbability weightingData processSensitivity analysisOutcome modelModelEstimatesBrief discussionPractical considerationsInferenceApproachImputation
2018
How to investigate and adjust for selection bias in cohort studies
Nohr EA, Liew Z. How to investigate and adjust for selection bias in cohort studies. Acta Obstetricia Et Gynecologica Scandinavica 2018, 97: 407-416. PMID: 29415329, DOI: 10.1111/aogs.13319.Peer-Reviewed Original ResearchConceptsCohort studyDanish National Birth CohortSelection biasLong-term followNational Birth CohortLongitudinal cohort studyCase-control studySubsequent follow upsExposure-outcome associationsTraditional epidemiological approachesPreventable causeFollow-upInverse probability weightingBirth cohortInitial participation rateStudy designEpidemiological approachLimited dataCohortDiseaseBias analysisProbability weightingParticipation ratesParticipantsLess disease
2015
Use of Insurance Against a Small Loss as an Incentive Strategy.
Meeker D, Thompson C, Strylewicz G, Knight T, Doctor J. Use of Insurance Against a Small Loss as an Incentive Strategy. Decision Analysis 2015, 12: 122-129. PMID: 26966422, PMCID: PMC4782799, DOI: 10.1287/deca.2015.0314.Peer-Reviewed Original ResearchDecisions of individualsUse of insuranceLoss aversionInsurance guaranteesIncentive designDecision utilityPayment conditionsBehavioral insightsInsurance interventionsPowerful incentiveCertainty effectExtended warrantyIncentive strategiesInsurancePaymentsProbability weightingIncentivesAversionSmall lossBonusSmall chanceBehavior uptakeHealthy choicesChoiceSame behavioral effects
2014
Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall’s Tau
Jiang Y, Li N, Zhang H. Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall’s Tau. Journal Of The American Statistical Association 2014, 109: 905-930. PMID: 25382885, PMCID: PMC4219655, DOI: 10.1080/01621459.2014.901223.Peer-Reviewed Original ResearchGenome-wide association studiesGenetic variantsU-statisticsU-statistic methodNovel genetic variantsGWAS analysisPhenotype-genotype associationsEnvironmental factorsReplicable genetic variantsAssociation studiesSemiparametric methodAssociation analysisStatistical methodsStudy of AddictionParametric methodsGene-environment interactionsParametric estimatesInverse probability weightingSimulation resultsProbability weightingNull hypothesisVariantsKendall's tauGeneticsTraits
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