| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7519434 | Journal of Clinical Epidemiology | 2017 | 25 Pages | 
Abstract
												Assessments of cost-effectiveness, based on the modeling of such data, are likely to be subject to considerable uncertainty. This uncertainty must not be underestimated by decision makers: methods for its quantification are required and schemes to protect payers from the cost of uncertainty should be implemented.
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											Authors
												Nerys Woolacott, Mark Corbett, Julie Jones-Diette, Robert Hodgson, 
											