BMDL is important because it provides a more reliable estimate for risk assessment compared to traditional approaches like the no observed adverse effect level (NOAEL). By incorporating statistical modeling, BMDL accounts for variability and uncertainty in the data, leading to a more robust and scientifically defensible benchmark for regulatory purposes.
