Validation of Multimedia Models Assessing Exposure to PAHs—The SOLEX Study
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DOI: 10.1111/1539-6924.00380
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References listed on IDEAS
- Kimberly M. Thompson & David E. Burmaster & Edmund A.C. Crouch3, 1992. "Monte Carlo Techniques for Quantitative Uncertainty Analysis in Public Health Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 12(1), pages 53-63, March.
- David E. Burmaster & Paul D. Anderson, 1994. "Principles of Good Practice for the Use of Monte Carlo Techniques in Human Health and Ecological Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 14(4), pages 477-481, August.
- P. D. Moskowitz & R. Pardi & V. M. Fthenakis & S. Holtzman & L. C. Sun & B. Irla, 1996. "An Evaluation of Three Representative Multimedia Models Used to Support Cleanup Decision‐Making at Hazardous, Mixed, and Radioactive Waste Sites," Risk Analysis, John Wiley & Sons, vol. 16(2), pages 279-287, April.
- Thomas E. McKone, 1994. "Uncertainty and Variability in Human Exposures to Soil Contaminants Through Home‐Grown Food: A Monte Carlo Assessment," Risk Analysis, John Wiley & Sons, vol. 14(4), pages 449-463, August.
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- Heather A. Jones‐Otazo & Miriam L. Diamond & G. Mark Richardson, 2005. "An Interagency Comparison of Screening‐Level Risk Assessment Approaches," Risk Analysis, John Wiley & Sons, vol. 25(4), pages 841-853, August.
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