An RSI Understanding Risk method
Benchmark dose modeling
Benchmark dose modeling is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Benchmark dose modeling is a quantitative method used to analyze dose-response relationships and identify points of departure for health-based guidance values. It involves fitting mathematical models to experimental or observational data to determine the dose at which a small, predefined increase in response (e.g., 10%) is observed. This modeling allows for more robust use of data than traditional NOAEL/LOAEL methods and provides confidence intervals for regulatory decision-making. However, it depends on appropriate model choice, data quality, and statistical rigor.
More specifically
RSI integrates benchmark dose modeling into risk assessments involving chemicals, environmental contaminants, or pharmaceuticals. Its toxicologists and statisticians apply international modeling tools with a focus on model selection transparency, biological plausibility, and sensitivity analyses. RSI helps clients use BMD outputs to derive actionable guidance values while also preparing summaries that facilitate stakeholder or regulatory engagement. The method is embedded in RSI’s broader approach to data-driven toxicological assessment.