Featured Publications
Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data
Warren J, Chitwood M, Sobkowiak B, Colijn C, Cohen T. Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data. Biometrics 2023, 79: 3650-3663. PMID: 36745619, PMCID: PMC10404301, DOI: 10.1111/biom.13836.Peer-Reviewed Original ResearchA 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 ResearchConceptsFull 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 stageA Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio
Warren J, Cai J, Johnson N, Deziel N. A Discrete Kernel Stick-Breaking Model for Detecting Spatial Boundaries in Hydraulic Fracturing Wastewater Disposal Well Placement Across Ohio. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2022, 71: 175-193. DOI: 10.1111/rssc.12527.Peer-Reviewed Original ResearchSPATIAL DISTRIBUTED LAG DATA FUSION FOR ESTIMATING AMBIENT AIR POLLUTION.
Warren JL, Miranda ML, Tootoo JL, Osgood CE, Bell ML. SPATIAL DISTRIBUTED LAG DATA FUSION FOR ESTIMATING AMBIENT AIR POLLUTION. The Annals Of Applied Statistics 2021, 15: 323-342. PMID: 34113416, PMCID: PMC8189329, DOI: 10.1214/20-aoas1399.Peer-Reviewed Original ResearchA Nonstationary Spatial Covariance Model for Processes Driven by Point Sources
Warren J. A Nonstationary Spatial Covariance Model for Processes Driven by Point Sources. Journal Of Agricultural, Biological And Environmental Statistics 2020, 25: 415-430. DOI: 10.1007/s13253-020-00404-4.Peer-Reviewed Original ResearchA Spatially Varying Distributed Lag Model with Application to an Air Pollution and Term Low Birth Weight Study
Warren JL, Luben TJ, Chang HH. A Spatially Varying Distributed Lag Model with Application to an Air Pollution and Term Low Birth Weight Study. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2020, 69: 681-696. PMID: 32595237, PMCID: PMC7319179, DOI: 10.1111/rssc.12407.Peer-Reviewed Original ResearchHealth effect parametersLow birth weight riskTerm low birth weightLow birth weightPregnancy outcomesWeight riskBirth weightResidual confoundingPregnancy periodNull associationBirth recordsAverage weekly concentrationsCritical windowDiminished abilityPregnancyExposure characteristicsRisk estimationAssociationExposureGeographic variabilityCritical window variable selection: estimating the impact of air pollution on very preterm birth
Warren JL, Kong W, Luben TJ, Chang HH. Critical window variable selection: estimating the impact of air pollution on very preterm birth. Biostatistics 2019, 21: 790-806. PMID: 30958877, PMCID: PMC7422642, DOI: 10.1093/biostatistics/kxz006.Peer-Reviewed Original ResearchConceptsHierarchical Bayesian frameworkBayesian frameworkStatistical modelVariable selectionImproved estimationCritical windowPreterm birthRisk parametersVery preterm birthAdverse birth outcomesControl analysisExposure-disease relationshipsDifferent reproductive outcomesBirth outcomesPregnant womenReproductive outcomesCase/control analysisDiagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method
Berchuck SI, Mwanza JC, Warren JL. Diagnosing Glaucoma Progression With Visual Field Data Using a Spatiotemporal Boundary Detection Method. Journal Of The American Statistical Association 2019, 114: 1063-1074. PMID: 31662589, PMCID: PMC6818507, DOI: 10.1080/01621459.2018.1537911.Peer-Reviewed Original ResearchA spatially varying change points model for monitoring glaucoma progression using visual field data
Berchuck SI, Mwanza JC, Warren JL. A spatially varying change points model for monitoring glaucoma progression using visual field data. Spatial Statistics 2019, 30: 1-26. PMID: 30931247, PMCID: PMC6438211, DOI: 10.1016/j.spasta.2019.02.001.Peer-Reviewed Original ResearchSpatial-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 ResearchBayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment
Warren J, Fuentes M, Herring A, Langlois P. Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment. Environmetrics 2012, 23: 673-684. PMID: 23482298, PMCID: PMC3589577, DOI: 10.1002/env.2174.Peer-Reviewed Original ResearchPrior distributionData settingMultivariate kernelSimulation study resultsMore standard modelsBayesian spatial-temporal modelsCompetitor modelsStandard modelSpatial domainModel outputSpatial-temporal modelSpaceMultivariate probit regression modelGreater flexibilityModelProbit regression modelKernelDistributionContinuous mannerTermsAssessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study
Chang HH, Warren JL, Darrow LA, Reich BJ, Waller LA. Assessment of critical exposure and outcome windows in time-to-event analysis with application to air pollution and preterm birth study. Biostatistics 2015, 16: 509-521. PMID: 25572998, PMCID: PMC5963471, DOI: 10.1093/biostatistics/kxu060.Peer-Reviewed Original ResearchConceptsPreterm birthAir pollution exposureGestational air pollution exposureRisk of PTBPollution exposurePreterm Birth StudyCourse of pregnancyTime-varying exposureOngoing pregnancyBirth StudyGestational exposureReproductive epidemiologyWeek 30PregnancyWeekly exposureBirth recordsVulnerable periodPopulation studiesPositive associationCritical periodExposureInconsistent findingsAssociationExposure lengthFine particulate matterBayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects
Warren JL, Stingone JA, Herring AH, Luben TJ, Fuentes M, Aylsworth AS, Langlois PH, Botto LD, Correa A, Olshan AF, Study B. Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects. Statistics In Medicine 2016, 35: 2786-2801. PMID: 26853919, PMCID: PMC4899303, DOI: 10.1002/sim.6891.Peer-Reviewed Original ResearchConceptsGestational weeks 2Week 2PM2.5 exposureCongenital heartAmbient air pollution exposureMaternal PM2.5 exposureTetralogy of FallotNational Birth Defect Prevention StudyAir pollution exposureCritical periodDaily PM2.5 exposurePrevention StudyExposure modelEpidemiologic studiesFetal developmentHealth outcomesSignificant associationPollution exposureDay 53PregnancyDay 50Adverse effectsElevated exposureExposureHeartSpatial Variability in the Persistence of Pneumococcal Conjugate Vaccine-targeted Pneumococcal Serotypes Among Adults
Warren JL, Pingali SC, Weinberger DM. Spatial Variability in the Persistence of Pneumococcal Conjugate Vaccine-targeted Pneumococcal Serotypes Among Adults. Epidemiology 2017, 28: 119-126. PMID: 27541841, PMCID: PMC5131859, DOI: 10.1097/ede.0000000000000551.Peer-Reviewed Original ResearchConceptsVaccine-targeted serotypesInvasive pneumococcal disease casesPneumococcal disease casesDirect vaccinationDisease casesInvasive pneumococcal diseaseConjugate vaccinePneumococcal diseaseVaccine serotypesVaccine uptakePneumococcal serotypesLeading causeBaseline proportionRate of declineNumber of casesAdult populationVaccinationStudy periodVaccineSerotypesAdultsChildrenHigh levelsMorbidityGeographic regionsA Dirichlet process mixture model for clustering longitudinal gene expression data
Sun J, Herazo‐Maya J, Kaminski N, Zhao H, Warren JL. A Dirichlet process mixture model for clustering longitudinal gene expression data. Statistics In Medicine 2017, 36: 3495-3506. PMID: 28620908, PMCID: PMC5583037, DOI: 10.1002/sim.7374.Peer-Reviewed Original ResearchConceptsLongitudinal gene expression profilesDirichlet process prior distributionRegression coefficientsExtensive simulation studyLongitudinal gene expression dataBayesian settingPrior distributionClustering methodFactor analysis modelDimensionality challengeStatistical methodsSimulation studyNovel clustering methodHigh dimensionality challengeSubgroup identificationImportant problemGene expression dataInteresting subgroupsClusteringCoefficientAnalysis modelModelExpression data
2024
Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer
Siddique S, Baum L, Deziel N, Kelly J, Warren J, Ma X. Using a Bayesian analytic approach to identify county-level ecological factors associated with survival among individuals with early-onset colorectal cancer. PLOS ONE 2024, 19: e0311540. PMID: 39471191, PMCID: PMC11521299, DOI: 10.1371/journal.pone.0311540.Peer-Reviewed Original ResearchConceptsAge-of-onset colorectal cancerEarly-onset colorectal cancerEnd Results Program dataCenters for Disease Control and Prevention dataCounty-level factorsColorectal cancerHealth risk behaviorsIdentified principal componentsOdds of survivalPreventive servicesSurvival disparitiesLinear mixed modelsEOCRCChronic diseasesPreventive factorsUS countiesSalt Lake CountyCA residentsRisk behaviorsUnited StatesProgram dataCounty-levelOlder ageBayesian analytical approachYounger ageIntegrating testing volume into bandit algorithms for infectious disease surveillance
Warren J, Prunas O, Paltiel A, Thornhill T, Gonsalves G. Integrating testing volume into bandit algorithms for infectious disease surveillance. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2024, qnae090. DOI: 10.1093/jrsssa/qnae090.Peer-Reviewed Original ResearchExposure range matters: considering non-linear associations in the meta-analysis of environmental pollutant exposure using examples of per- and polyfluoroalkyl substances and birth outcomes
Guo P, Warren J, Deziel N, Liew Z. Exposure range matters: considering non-linear associations in the meta-analysis of environmental pollutant exposure using examples of per- and polyfluoroalkyl substances and birth outcomes. American Journal Of Epidemiology 2024, kwae309. PMID: 39227151, DOI: 10.1093/aje/kwae309.Peer-Reviewed Original ResearchNon-linear associationMeta-analysisHeterogeneity of effect estimatesEffect estimatesPotential non-linear associationsExposure-outcome relationshipsRisk of preterm birthSubgroup meta-analysisBirth outcomesPollution exposureMeta-analytic approachMeta-analysesEffect sizeEnvironmental pollutant exposureResults heterogeneityExposure levelsHealth effectsPreterm birthEvidence-based policymakingPrenatal exposurePotential heterogeneityMean birth weightBirth weightMethodological challengesCut-off choiceExposures to Artificial Light at Night and Ambient Fine Particulate Matter and Risk of Pediatric Papillary Thyroid Cancer
Deziel N, Wang R, Warren J, Dinauer C, Ogilvie J, Clark C, Zhong C, Wiemels J, Morimoto L, Metayer C, Ma X. Exposures to Artificial Light at Night and Ambient Fine Particulate Matter and Risk of Pediatric Papillary Thyroid Cancer. ISEE Conference Abstracts 2024, 2024 DOI: 10.1289/isee.2024.0720.Peer-Reviewed Original ResearchHigh ambient temperature in pregnancy and risk of childhood acute lymphoblastic leukaemia: an observational study
Rogne T, Wang R, Wang P, Deziel N, Metayer C, Wiemels J, Chen K, Warren J, Ma X. High ambient temperature in pregnancy and risk of childhood acute lymphoblastic leukaemia: an observational study. The Lancet Planetary Health 2024, 8: e506-e514. PMID: 38969477, PMCID: PMC11260908, DOI: 10.1016/s2542-5196(24)00121-9.Peer-Reviewed Original ResearchConceptsRisk of childhood acute lymphoblastic leukemiaChildhood acute lymphoblastic leukemiaAcute lymphoblastic leukemiaLymphoblastic leukemiaLatino childrenNon-Latino white childrenAssociated with risk of adverse pregnancy outcomesCalifornia Cancer RegistryRisk of acute lymphoblastic leukemiaCalifornia birth recordsRisk of adverse pregnancy outcomesPre-pregnancy periodAssociated with riskBayesian meta-regressionNational Institutes of HealthCancer RegistryCases of childhood acute lymphoblastic leukemiaNational Center for Advancing Translational SciencesAdverse pregnancy outcomesAcute lymphoblastic leukemia casesInstitutes of HealthInvestigation of mechanistic pathwaysBirth recordsGestational weeks 8Pre-pregnancy