What is a model? What model input is considered in a sensitivity analysis? What is the role of uncertainty and sensitivity analyses in model building? Main approaches to the propagation of uncertainty within and across models. Implications for model quality.

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We review briefly some examples that would support an extended role for quantitative sensitivity analysis in the context of model-based analysis (Section 1). We then review what features a quantitative sensitivity analysis needs to have to play such a role (Section 2). The methods that meet these requirements are described in Section 3; an example is provided in Section 4. Some pointers to further research are set out in Section 5.