An RSI Understanding Risk method
Statistical modeling
Broadly
Statistical modeling uses mathematical techniques to represent relationships between variables and estimate outcomes or trends. In risk analysis, it supports exposure estimation, dose-response curves, population risk forecasting, and uncertainty analysis. The strength of statistical models lies in their generalizability and rigor; the risks lie in misapplication, overfitting, or opaque assumptions.
More specifically
RSI builds and interprets statistical models across a wide range of risk domains. Its statisticians collaborate with subject matter experts to ensure relevance, reliability, and transparency. RSI provides clear documentation of model design and assumptions, enabling clients to use results confidently in regulatory, operational, or strategic contexts.