2024
Estimates of intra-cluster correlation coefficients from 2018 USA Medicare data to inform the design of cluster randomized trials in Alzheimer’s and related dementias
Ouyang Y, Li F, Li X, Bynum J, Mor V, Taljaard M. Estimates of intra-cluster correlation coefficients from 2018 USA Medicare data to inform the design of cluster randomized trials in Alzheimer’s and related dementias. Trials 2024, 25: 732. PMID: 39478608, PMCID: PMC11523597, DOI: 10.1186/s13063-024-08404-2.Peer-Reviewed Original ResearchConceptsIntra-cluster correlation coefficientIntra-cluster correlation coefficient estimationSample size calculationED visitsMedicare dataMedicare fee-for-service beneficiariesEmergency departmentFee-for-service beneficiariesSize calculationDiagnosis of ADRDNational Medicare dataCluster randomized trialHospital referral regionsHospital service areasHealth care systemBackgroundCluster randomized trialsPopulation-level dataRandomized trialsDesign of cluster randomized trialsEvaluate interventionsReferral regionsCare systemICC estimatesADRDCorrelation coefficientAssociation of marital/partner status with hospital readmission among young adults with acute myocardial infarction.
Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.Peer-Reviewed Original ResearchConceptsMarital/partner statusPsychosocial factorsAcute myocardial infarctionYoung adultsHospital dischargeYear of hospital dischargeYoung acute myocardial infarctionAssociated with 1.3-foldCohort of young adultsLong-term readmissionCox proportional hazards modelsStatus interactionSimilar-aged menMyocardial infarctionProportional hazards modelUnpartnered statusPatient interviewsPhysician panelCardiovascular healthHospital readmissionSocioeconomic factorsAMI survivorsSequential adjustmentCardiac readmissionMultiple imputation
2023
Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction
Zhu C, Dreyer R, Li F, Spatz E, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal Of The American Heart Association 2023, 12: e030031. PMID: 37589125, PMCID: PMC10547344, DOI: 10.1161/jaha.123.030031.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCardiac-specific qualityGeneric health statusMyocardial infarctionBaseline healthMarital stressHealth outcomesHealth statusWorse patient-reported outcomesMental healthYoung adultsObservational cohort studyPatient-reported outcomesSocioeconomic factorsWorse mental healthReadmission 1Cause readmissionCohort studyYounger patientsRoutine screeningDepressive symptomsGreater oddsAnginaMale participantsOutcomesIs low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials
Blette B, Moutchia J, Al-Naamani N, Ventetuolo C, Cheng C, Appleby D, Urbanowicz R, Fritz J, Mazurek J, Li F, Kawut S, Harhay M. Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials. The Lancet Respiratory Medicine 2023, 11: 873-882. PMID: 37230098, PMCID: PMC10592525, DOI: 10.1016/s2213-2600(23)00155-8.Peer-Reviewed Original ResearchConceptsPulmonary arterial hypertensionPulmonary arterial hypertension trialsWorsening pulmonary arterial hypertensionFood and Drug AdministrationLow-risk statusClinical worseningLong-term outcomesRisk scoreArterial hypertensionPAH associated with connective tissue diseaseIdiopathic pulmonary arterial hypertensionPulmonary arterial hypertension treatmentSurrogate outcomesObservational study of outcomesLong-term follow-upDiscontinuation of study treatmentWHO functional classUS Food and Drug AdministrationMeta-analysisMeta-analysis of RCTsAll-cause deathConnective tissue diseaseEffects of therapyPredictive of outcomeTreatment effects
2021
Estimating heterogeneous survival treatment effect in observational data using machine learning
Hu L, Ji J, Li F. Estimating heterogeneous survival treatment effect in observational data using machine learning. Statistics In Medicine 2021, 40: 4691-4713. PMID: 34114252, PMCID: PMC9827499, DOI: 10.1002/sim.9090.Peer-Reviewed Original ResearchAssessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19
Nugent J, Aklilu A, Yamamoto Y, Simonov M, Li F, Biswas A, Ghazi L, Greenberg J, Mansour S, Moledina D, Wilson FP. Assessment of Acute Kidney Injury and Longitudinal Kidney Function After Hospital Discharge Among Patients With and Without COVID-19. JAMA Network Open 2021, 4: e211095. PMID: 33688965, PMCID: PMC7948062, DOI: 10.1001/jamanetworkopen.2021.1095.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedAged, 80 and overBlack or African AmericanCohort StudiesComorbidityCOVID-19CreatinineFemaleFollow-Up StudiesGlomerular Filtration RateHispanic or LatinoHumansHypertensionKidney Function TestsLongitudinal StudiesMaleMiddle AgedPatient DischargeProportional Hazards ModelsRenal Insufficiency, ChronicRetrospective StudiesSARS-CoV-2United StatesConceptsCOVID-19-associated acute kidney injuryAcute kidney injuryHospital acute kidney injurySubgroup of patientsKidney functionKidney injuryCohort studyHospital dischargeAKI recoveryKidney diseaseCOVID-19Peak creatinine levelsRetrospective cohort studyChronic kidney diseaseDays of dischargeHalf of patientsGlomerular filtration rateCoronavirus disease 2019AKI severityBaseline comorbiditiesEGFR decreaseDialysis requirementEGFR slopeKidney recoveryCreatinine levelsEarly identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules
Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. Journal Of Gastroenterology And Hepatology 2021, 36: 1590-1597. PMID: 33105045, DOI: 10.1111/jgh.15313.Peer-Reviewed Original ResearchConceptsNatural language processingElectronic health recordsLanguage processingNLP algorithmSystematized NomenclatureReal timeAcute gastrointestinal bleedingBidirectional Encoder RepresentationsDecision rulesEHR-based phenotyping algorithmsGastrointestinal bleedingRisk stratification scoresEncoder RepresentationsData elementsPhenotyping algorithmStratification scoresHealth recordsAlgorithmPhenotyping of patientsEmergency department patientsTime of presentationRisk stratification modelED reviewDeploymentExternal validationElectronic health record alerts for acute kidney injury: multicenter, randomized clinical trial
Wilson FP, Martin M, Yamamoto Y, Partridge C, Moreira E, Arora T, Biswas A, Feldman H, Garg AX, Greenberg JH, Hinchcliff M, Latham S, Li F, Lin H, Mansour SG, Moledina DG, Palevsky PM, Parikh CR, Simonov M, Testani J, Ugwuowo U. Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial. The BMJ 2021, 372: m4786. PMID: 33461986, PMCID: PMC8034420, DOI: 10.1136/bmj.m4786.Peer-Reviewed Original ResearchConceptsAcute kidney injuryElectronic health record alertsKidney injuryPrimary outcomeMedical recordsYale New Haven Health SystemCare practicesGlobal Outcomes creatinine criteriaLarge tertiary care centerComposite of progressionDays of randomizationReceipt of dialysisPrespecified secondary outcomesTertiary care centerPatients' medical recordsSmall community hospitalNon-teaching hospitalsElectronic health recordsCreatinine criteriaUsual careSecondary outcomesAdult inpatientsKidney diseaseClinical centersWorse outcomes
2017
Genetic Polymorphisms of CFH and ARMS2 Do Not Predict Response to Antioxidants and Zinc in Patients with Age-Related Macular Degeneration Independent Statistical Evaluations of Data from the Age-Related Eye Disease Study
Assel MJ, Li F, Wang Y, Allen AS, Baggerly KA, Vickers AJ. Genetic Polymorphisms of CFH and ARMS2 Do Not Predict Response to Antioxidants and Zinc in Patients with Age-Related Macular Degeneration Independent Statistical Evaluations of Data from the Age-Related Eye Disease Study. Ophthalmology 2017, 125: 391-397. PMID: 29032853, PMCID: PMC5820191, DOI: 10.1016/j.ophtha.2017.09.008.Peer-Reviewed Original ResearchConceptsAge-related macular degenerationAdvanced age-related macular degenerationEye Disease StudyGenotype-treatment interactionDisease StudyHigh-risk patientsStandard careAMD progressionBaseline predictorsMacular degenerationTreatment responseGenotype subgroupsAREDS participantsPatientsGenetic polymorphismsSingle nucleotide polymorphismsCategory 1Negative resultsAgePopulation of interestTreatmentMultiple testingProgressionNucleotide polymorphismsAntioxidantsAn evaluation of constrained randomization for the design and analysis of group‐randomized trials with binary outcomes
Li F, Turner EL, Heagerty PJ, Murray DM, Vollmer WM, DeLong ER. An evaluation of constrained randomization for the design and analysis of group‐randomized trials with binary outcomes. Statistics In Medicine 2017, 36: 3791-3806. PMID: 28786223, PMCID: PMC5624845, DOI: 10.1002/sim.7410.Peer-Reviewed Original ResearchConceptsGroup-level covariatesPossible allocation schemesMonte Carlo simulationsStatistical propertiesRandomization-based testsStatistical issuesCarlo simulationsPrespecified percentageAllocation schemeStatistical testsCandidate allocationsSpaceBinary outcomesAllocation techniquePermutation testPractical limitationsPower lossSchemeSuch designsGroup-randomized trialLarge numberF-testContinuous outcomesCovariate imbalanceInference
2015
A spatiotemporal quantile regression model for emergency department expenditures
Neelon B, Li F, Burgette LF, Neelon SE. A spatiotemporal quantile regression model for emergency department expenditures. Statistics In Medicine 2015, 34: 2559-2575. PMID: 25782041, DOI: 10.1002/sim.6480.Peer-Reviewed Original ResearchConceptsQuantile regression modelSmall area estimationAsymmetric Laplace distributionSpatiotemporal random effectsFull conditionalsRandom effectsBayesian modeling approachLaplace distributionAutoregressive priorsSampling schemeResponse distributionEmergency department expendituresSpatiotemporal smoothingModeling approach