Assessing Parameter Importance in Decision Models. Application to Health Economic Evaluations
Background: Uncertainty in parameters is present in many risk assessment and decision making problems and leads to uncertainty in model predictions. Therefore an analysis of the degree of uncertainty around the model inputs is often needed. Importance analysis involves use of quantitative methods ai...
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| Language: | en |
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Université d'Ottawa / University of Ottawa
2013
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| Online Access: | http://hdl.handle.net/10393/23810 http://dx.doi.org/10.20381/ruor-6466 |