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Key Personnel
Sung Kyun Park, Principal Investigator
Bhramar Mukherjee, Principal Investigator
Xin Wantg, Research Investigator
Seulbi Lee, Postdoctoral Research Fellow
Zhangchen Zhao, Research Assistant
Environmental Risk Score (ERS) is a useful tool to integrate effects of pollutant mixtures while handling statistical challenges (high-dimensional, multicollinearity, interaction, non-linearity). ERS can be used for risk stratification and targeted preventive intervention.
Environmental Risk Score (ERS) is a useful tool to integrate effects of pollutant mixtures while handling statistical challenges (high-dimensional, multicollinearity, interaction, non-linearity). ERS can be used for risk stratification and targeted preventive intervention.
Wang et al., 2018. https://doi.org/10.1016/j.envint.2018.09.035.
We are exposed to multi-pollutants and pollution mixtures in real life, but what is the risk from multi-pollutants? Although the importance of multi-pollutant concepts is well recognized, most epidemiologic studies are still based on individual pollutants and little is known about statistical approaches to examine multi-pollutants and to integrate risks from multi-pollutants. We propose Environmental Risk Score (ERS) as a new tool to examine the risk of exposure to multi-pollutants in epidemiologic research.
PUBLICATIONS
Wang X, Mukherjee B, Park SK. Does information on blood heavy metals improve cardiovascular mortality prediction? J Am Heart Assoc 2019;8:e013571. PMID: 31631727. PMCID: PMC6898859.
Wang X, Mukherjee B, Park SK. Associations of cumulative exposure to heavy metal mixtures with obesity and its comorbidities among U.S. adults in NHANES 2003-2014. Environ Int. 2018;121:683-94. PMCID: PMC6268112.
Park SK, Zhao Z, Mukherjee B. Construction of environmental risk score beyond standard linear models using machine learning methods: Application to metal mixtures, oxidative stress and cardiovascular disease in NHANES. Environ Health 2017;16(1):102. PMCID: PMC5615812.
Park SK, Tao Y, Meeker JD, Harlow SD, Mukherjee B. Environmental risk score as a new tool to examine multi-pollutants in epidemiologic research: an example from the NHANES study using serum lipid levels. PLoS One 2014;9(6):e98632. PMCID: PMC4047033.
Sun Z, Tao Y, Li S, Ferguson KK, Meeker JD, Park SK, Batterman SA, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environ Health 2013;12:85. PMCID: PMC3556613.
Applications of ERS (R codes) are available at MPEG Github.
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