2013
Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons
Sun Z, Tao Y, Li S, Ferguson K, Meeker J, Park S, Batterman S, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environmental Health 2013, 12: 85. PMID: 24093917, PMCID: PMC3857674, DOI: 10.1186/1476-069x-12-85.Peer-Reviewed Original ResearchConceptsMultipollutant modelsHealth impacts of environmental factorsEffect estimatesExposure-response associationsExposure to multiple pollutantsTime series designConsequence of environmental exposureSample sizeHealth impactsEnvironmental exposuresPresence of multicollinearityRisk predictionPotential interactive effectsInitial screeningPollutant mixturesImpact of environmental factorsSupervised principal component analysisModel dimensionsStatistical literatureData examplesTree-based methodsMultiple pollutantsVariable selectionSimulation studyReduce model dimension
2012
Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes
Sun Z, Mukherjee B, Brook R, Gatts G, Yang F, Sun Q, Brook J, Fan Z, Rajagopalan S. Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes. The Science Of The Total Environment 2012, 448: 72-78. PMID: 23182147, PMCID: PMC4548977, DOI: 10.1016/j.scitotenv.2012.10.087.Peer-Reviewed Original ResearchConceptsAir pollution exposureAir pollutionAmbient fine particulate matterMeasures of air pollution exposureImpact of air pollution exposureFine particulate matterExposure to PM2.5Air pollution measurementsPersonal exposure measurementsCreation of novel methodologiesSub-acute exposurePolluted urban environmentsImpact of environmental factorsParticulate matterPollution exposureStudy visitsPollution measurementsType II diabetesProspective cohort studyEnvironmental risk factorsAmbient measurementsII diabetesCohort studyUrban environmentScreening visit