Principles of good practice for the use of Monte Carlo techniques in human health and ecological risk assessments.
We propose 14 principles of good practice to assist people in performing and reviewing probabilistic or Monte Carlo risk assessments, especially in the context of the federal and state statutes concerning chemicals in the environment. Monte Carlo risk assessments for hazardous waste sites that follow these principles will be easier to understand, will explicitly distinguish assumptions from data, and will consider and quantify effects that could otherwise lead to misinterpretation of the results. The proposed principles are neither mutually exclusive nor collectively exhaustive. We think and hope that these principles will evolve as new ideas arise and come into practice.
Burmaster
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Alceon Corporation, Cambridge, Massachusetts 02238-2669.
Anderson
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D003198:Computer Simulation; D004198:Disease Susceptibility; D004463:Ecology; D004787:Environmental Pollution / Q000009:adverse effects*; D006256:Hazardous Waste / Q000009:adverse effects*; D006262:Health; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D009369:Neoplasms / Q000209:etiology; D018570:Risk Assessment; D012680:Sensitivity and Specificity
D006256:Hazardous Waste