Why Is Multicollinearity a Problem for Risk Assessment?
Risk assessment in toxicology often involves using statistical models to predict the likelihood of adverse effects from chemical exposures. Multicollinearity can distort these predictions by making it difficult to isolate the impact of individual predictors. This is particularly problematic when regulatory decisions are based on these assessments, as it can lead to either overestimating or underestimating the risk posed by a chemical.
