Featured Publications
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth
Comess S, Chang HH, Warren JL. A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth. Biostatistics 2022, 25: 20-39. PMID: 35984351, PMCID: PMC10724312, DOI: 10.1093/biostatistics/kxac034.Peer-Reviewed Original ResearchMeSH KeywordsAir PollutantsAir PollutionBayes TheoremEnvironmental ExposureEnvironmental MonitoringFemaleHumansParticulate MatterPregnancyStillbirthUncertaintyConceptsFull conditional distributionsEfficient model fittingStatistical modeling approachDensity estimation approachBayesian settingKernel density estimation approachPosterior outputBayesian frameworkConditional distributionModel fittingEstimation approachAccurate inferenceKDE approachModeling approachComparison metricsExposure uncertaintyUncertaintySecond stageApproachFittingInferencePredictionSimulationsModel comparison metricsFirst stageSpatial-Temporal Modeling of the Association Between Air Pollution Exposure and Preterm Birth: Identifying Critical Windows of Exposure
Warren J, Fuentes M, Herring A, Langlois P. Spatial-Temporal Modeling of the Association Between Air Pollution Exposure and Preterm Birth: Identifying Critical Windows of Exposure. Biometrics 2012, 68: 1157-1167. PMID: 22568640, PMCID: PMC3422613, DOI: 10.1111/j.1541-0420.2012.01774.x.Peer-Reviewed Original Research
2025
Demographic inequities and cumulative environmental burdens within communities near superfund sites on Long Island, New York
Mooney F, Kelly J, Warren J, Deziel N. Demographic inequities and cumulative environmental burdens within communities near superfund sites on Long Island, New York. Health & Place 2025, 91: 103409. PMID: 39799904, PMCID: PMC11792615, DOI: 10.1016/j.healthplace.2024.103409.Peer-Reviewed Original ResearchConceptsLow-income residentsSuperfund siteEnvironmental burdenSocio-demographicHigh PM<sub>2.5</sub> concentrationsEnvironmental variablesCensus tractsLong IslandPoisson regression modelsBlack residentsCumulative environmental burdenDemographic inequalitiesNew YorkDistribution inequalitySuperfundCommunity demographicsHispanic/Latino residentsToxic releasesExposure potentialCounty residentsExposed communitiesStratified analysis
2024
A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures
Zhang Y, Chang H, Warren J, Ebelt S. A scalar-on-quantile-function approach for estimating short-term health effects of environmental exposures. Biometrics 2024, 80: ujae008. PMID: 38477485, PMCID: PMC10934338, DOI: 10.1093/biomtc/ujae008.Peer-Reviewed Original ResearchMeSH KeywordsAir PollutantsAir PollutionCarbon MonoxideEnvironmental ExposureHumansParticulate MatterConceptsEmergency departmentAir pollutionHealth effects of environmental exposuresShort-term health effectsAnalysis of air pollutionStochastic Human ExposureAmbient air pollutionEnvironmental epidemiology studiesEffects of environmental exposuresAggregate health outcomesPopulation-level exposureHealth outcomesED visitsPopulation exposureHuman exposureExposure heterogeneitySpatial variationEpidemiological studiesEnvironmental exposuresPollutionHealth analysisEstimated effectsEffects of short-termVisitsQuantile function
2023
Associations Between Long-Term Air Pollutant Exposure and 30-Day All-Cause Hospital Readmissions in US Patients With Stroke
Tran P, Warren J, Leifheit E, Goldstein L, Lichtman J. Associations Between Long-Term Air Pollutant Exposure and 30-Day All-Cause Hospital Readmissions in US Patients With Stroke. Stroke 2023, 54: e126-e129. PMID: 36729388, PMCID: PMC11059199, DOI: 10.1161/strokeaha.122.042265.Peer-Reviewed Original ResearchMeSH KeywordsAgedAir PollutantsAir PollutionEnvironmental ExposureHumansMedicareNitrogen DioxideParticulate MatterPatient ReadmissionStrokeUnited StatesConceptsLong-term air pollutant exposureAir pollutant exposureCause hospital readmissionHospital readmissionPollutant exposureMedicare beneficiaries agePerformance categoriesMatter 2.5Sulfur dioxide exposureCause readmission measureIschemic strokeStroke incidenceUS patientsHospital characteristicsSD increaseReadmissionCox modelReadmission measuresBeneficiaries ageLong-term exposureStrokePatientsMedicaid ServicesParticulate matter 2.5US fee
2022
Using multi-sourced big data to correlate sleep deprivation and road traffic noise: A US county-level ecological study
Tong H, Warren J, Kang J, Li M. Using multi-sourced big data to correlate sleep deprivation and road traffic noise: A US county-level ecological study. Environmental Research 2022, 220: 115029. PMID: 36495963, DOI: 10.1016/j.envres.2022.115029.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremBig DataEnvironmental ExposureHumansNoise, TransportationSleepSleep DeprivationConceptsRoad traffic noiseCounty-level ecological studyMultiple socioeconomic factorsTraffic noisePublic health problemNo significant associationSound pressure levelGeographic information systemSocioeconomic factorsHealth problemsSleep deprivationSignificant associationSleep problemsSleep surveyDBA increaseAverage sound pressure levelCounty levelOddsIndividual levelCountyUrban sprawl patternsEcological studiesAssociationSleepMulti-source big data
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