2021
Cross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches
Aung M, Yu Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Mukherjee B, Meeker J. Cross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches. Environmental Health Perspectives 2021, 129: 037007. PMID: 33761273, PMCID: PMC7990518, DOI: 10.1289/ehp7396.Peer-Reviewed Original ResearchConceptsExposure analytesToxicity classesMixtures of toxicantsSingle-pollutant modelsPolycyclic aromatic hydrocarbonsHierarchical Bayesian kernel machine regressionBayesian kernel machine regressionKernel machine regressionPrenatal toxicant exposureAdaptive elastic net regressionClasses of toxicantsSingle-pollutantTrace metalsAromatic hydrocarbonsToxic mixturePair-wise associationsAdaptive elastic netToxicant exposurePhthalateMachine regressionEndogenous biomarkersBiomarkers indicativeMultiple linear regressionMetalToxicity
2020
Application of an analytical framework for multivariate mediation analysis of environmental data
Aung M, Song Y, Ferguson K, Cantonwine D, Zeng L, McElrath T, Pennathur S, Meeker J, Mukherjee B. Application of an analytical framework for multivariate mediation analysis of environmental data. Nature Communications 2020, 11: 5624. PMID: 33159049, PMCID: PMC7648785, DOI: 10.1038/s41467-020-19335-2.Peer-Reviewed Original Research