Benchmark dose and reference value derivation is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Benchmark dose (BMD) modeling identifies the dose or exposure level at which a predefined level of adverse response is observed, using statistical fitting of dose-response data. Reference values, such as tolerable daily intakes or reference concentrations, are then derived from this benchmark using uncertainty factors. These values serve as critical decision points in chemical risk assessments. BMD offers greater statistical transparency than traditional NOAEL approaches, but requires high-quality data, thoughtful model selection, and careful interpretation of uncertainty.
More specifically
RSI offers benchmark dose modeling and reference value derivation as part of its technical modeling and toxicological services. Its staff are experienced with tools like BMDS and PROAST, and apply international best practices for model fitting, critical effect selection, and uncertainty factor justification. RSI documents decisions with transparency, providing clients with not only reference values, but defensible narratives suitable for regulatory or policy use.