Two way sensitivity analysis is a technique used in economic evaluation to assess the robustness of the overall result (typically of a model-based analysis) when simultaneously varying the values of two key input variables (parameters).This is particularly useful when there is a correlation between the two variables that are tested, in which case varying them independently in univariate sensitivity analyses may give a misleading view. Examples of such correlated input parameters might be hazard ratios for progression-free survival and overall survival for cancer therapy, or utility values for moderate and severe disease states.

How to cite: Two Way Sensitivity Analysis [online]. (2016). York; York Health Economics Consortium; 2016.

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