Sensitivity analysis is essential for several reasons:
Validation of Model Assumptions: It helps validate the assumptions made in the model by testing their impact on the results. Risk Assessment: It aids in understanding the potential risks and uncertainties associated with the study findings. Policy Making: It provides valuable information for policymakers to make informed decisions based on robust and reliable data. Resource Allocation: It helps in the efficient allocation of resources by identifying critical factors that influence outcomes.
