2014
Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.
Batterman S, Su F, Li S, Mukherjee B, Jia C. Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data. Research Report 2014, 3-63. PMID: 25145040, PMCID: PMC4577247.Peer-Reviewed Original ResearchConceptsPositive matrix factorizationCumulative cancer riskAir exchange rateVOC exposureToxicological mode of actionMethod detection limitsPersonal exposureVolatile organic compoundsOutdoor concentrationsVOC mixturesVOC concentrationsEmission sourcesEmission sources of volatile organic compoundsHome air exchange ratesLinear mixed-effects modelsSources of volatile organic compoundsLifetime cumulative cancer riskToxicological modeVOC dataIndividual VOCsVariables associated with exposureRelationship of IndoorIndoor VOC concentrationsCancer riskHealth-based guidelines
2013
Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions
Li S, Batterman S, Su F, Mukherjee B. Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment 2013, 77: 464-473. PMID: 24348086, PMCID: PMC3857711, DOI: 10.1016/j.atmosenv.2013.05.004.Peer-Reviewed Original ResearchFinite mixture of normalsDirichlet process mixtureMixtures of normalsDirichlet process mixtures of normalsFinite mixtureHeavy tailsDirichlet process mixture methodsMethod detection limitsComprehensive simulation studyDistributions of VOC concentrationsProcess mixtureStandard model assumptionsPosterior distributionEmpirical densityNormal distributionSimulation studyGoodness-of-fit criteriaVolatile organic compoundsDensity estimationGoodness-of-fitDensity estimation methodCensoringConvergence issuesExposure dataEstimation method