Sensitivity analysis is a quantitative method used to determine how the different values of an independent variable (or input) will impact a particular dependent variable (or output) under a given set of assumptions. It assesses how sensitive the output of a model is to changes in input values, allowing researchers and decision-makers to understand the robustness and reliability of their results or predictions.
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