
When evaluating the impact of varying parameters on a model’s results, a key tool is the graphical representation of how different factors contribute to the uncertainty in predictions. By mapping the effects of each variable, you can immediately identify which ones drive the greatest deviations. This approach helps pinpoint areas where additional data or more precise estimates would reduce model uncertainty.
“Sensitivity Analysis with Tornado Diagrams for Risk Assessment and Decision Making”








