A sensitivity analysis provides information on how sensitive a model is to individual parameters. This increases transparency and understanding of model outputs. One form of a sensitivity analysis is ...
This chapter concerns principles and methods for sensitivity analyses that quantify the robustness of inferences to departures from underlying assumptions. Unlike the well-developed literature on ...
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