Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide.


Bilcke, J; Beutels, P; Brisson, M; Jit, M; (2011) Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide. Medical decision making, 31 (4). pp. 675-92. ISSN 0272-989X DOI: https://doi.org/10.1177/0272989X11409240

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Abstract

: Accounting for uncertainty is now a standard part of decision-analytic modeling and is recommended by many health technology agencies and published guidelines. However, the scope of such analyses is often limited, even though techniques have been developed for presenting the effects of methodological, structural, and parameter uncertainty on model results. To help bring these techniques into mainstream use, the authors present a step-by-step guide that offers an integrated approach to account for different kinds of uncertainty in the same model, along with a checklist for assessing the way in which uncertainty has been incorporated. The guide also addresses special situations such as when a source of uncertainty is difficult to parameterize, resources are limited for an ideal exploration of uncertainty, or evidence to inform the model is not available or not reliable. METHODS: for identifying the sources of uncertainty that influence results most are also described. Besides guiding analysts, the guide and checklist may be useful to decision makers who need to assess how well uncertainty has been accounted for in a decision-analytic model before using the results to make a decision.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
PubMed ID: 21653805
Web of Science ID: 292732800016
URI: http://researchonline.lshtm.ac.uk/id/eprint/111864

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