2024
Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model
Lan Y, Crudu V, Ciobanu N, Codreanu A, Chitwood M, Sobkowiak B, Warren J, Cohen T. Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model. EBioMedicine 2024, 102: 105085. PMID: 38531172, PMCID: PMC10987885, DOI: 10.1016/j.ebiom.2024.105085.Peer-Reviewed Original ResearchConceptsPatterns of spatial aggregationMtb strainsMDR-TBLogistic regression modelsGenome Epidemiology StudySpecific strainsMultidrug-resistant tuberculosisTreated TB casesNational Institute of AllergyMDR phenotypeRegression modelsM. tuberculosisInstitute of AllergyMultinomial logistic regression modelUS National Institutes of HealthNational Institutes of HealthMDR diseasePublic health concernAssociated with local transmissionIncident TBInstitutes of HealthMtbResistant tuberculosisStrainDiagnosing TB
2023
Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003–2015
Krajewski A, Luben T, Warren J, Rappazzo K. Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003–2015. Environmental Epidemiology 2023, 7: e278. PMID: 38912391, PMCID: PMC11189686, DOI: 10.1097/ee9.0000000000000278.Peer-Reviewed Original ResearchPreterm birthGestational exposureWeeks of pregnancyRisk of PTBInterquartile range increasePM 2.5 exposurePoisson regression modelsGestational weeksPotential confoundersFine particulate matterAssociation magnitudeRisk differenceNull associationBirth cohortExposure windowsResidential addressesMultipollutant modelsBirthWeeksPositive associationAssociationExposurePM 2.5Regression modelsCensus tracts
2016
A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data
Warren JL, Mwanza JC, Tanna AP, Budenz DL. A Statistical Model to Analyze Clinician Expert Consensus on Glaucoma Progression using Spatially Correlated Visual Field Data. Translational Vision Science & Technology 2016, 5: 14-14. PMID: 27622079, PMCID: PMC5017314, DOI: 10.1167/tvst.5.4.14.Peer-Reviewed Original ResearchStatistical modelSpatial probit regression modelsDeviance information criterionModel selection metricsBayesian settingSimulation study resultsModel parametersInformation criterionSpatial modelingCorrelated sensitivityNew methodologySingle frameworkSelection metricsField dataModelProbit regression modelInferenceEstimationVF locationsRegression modelsModelingPredictive abilityNumber of areas