Conducting sensitivity analysis typically involves the following steps:
Identify Key Parameters: Determine which parameters in the model are uncertain or have a significant impact on the results. Specify Ranges: Define plausible ranges or distributions for these parameters based on existing data or expert judgment. Run the Model: Execute the model multiple times, each time varying the parameters within their specified ranges. Analyze Results: Examine how changes in parameters affect the model's outcomes and identify which parameters are most influential. Report Findings: Clearly communicate the sensitivity analysis results, including any limitations and implications for the study's conclusions.
