Validation of risk models is essential to ensure their reliability and accuracy. This process typically involves:
Comparison with Empirical Data: Comparing model predictions with observed data from toxicological studies and epidemiological investigations. Sensitivity Analysis: Assessing how changes in model parameters affect outcomes, thus identifying critical inputs. Uncertainty Analysis: Quantifying the uncertainty in model predictions and understanding its implications for risk estimates. Peer Review: Subjecting models to scrutiny by the scientific community to ensure robustness and credibility.
