Monte Carlo Methods
Different individuals will experience different risks due to variability in the factors that control exposure, susceptibility and sensitivity. These differences arise from variation in location within the exposure field, variation in exposure factors (such as breathing rates or ingestion rates), variation in pharmacokinetic and pharmacodynamic properties, and variation in dose-response characteristics. The composite effect of these differences is that the risk to individuals in a population must be described by an intersubject variability probability density function rather than by a single estimate (often called a point estimate in risk assessment).
Neither the parameters appearing in models, nor the mathematical forms of the model, are known with complete accuracy. As a result, there is uncertainty in predictions of risk, either for an individual or population. This requires that risk estimates be characterized by an uncertainty probability density function describing the confidence associated with which each value of the risk.
KeywordsMonte Carlo Method Uncertainty Analysis Variability Distribution Quadratic Model Slope Factor
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