A Bayesian approach to sensitivity analysis
Sensitivity analysis has traditionally been applied to decision models to quantify the stability of a preferred alternative to parametric variation. In the health literature, sensitivity measures have traditionally been based upon distance metrics, payoff variations, and probability measures. We advocate a new approach based on information value and argue that such an approach is better suited to address the decision-maker's real concerns. We provide an example comparing conventional sensitivity analysis to one based on information value.This article is a US government work and is in the public domain in the United States
Year of publication: |
1999
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Authors: | Felli, James C. ; Hazen, Gordon B. |
Published in: |
Health Economics. - John Wiley & Sons, Ltd., ISSN 1057-9230. - Vol. 8.1999, 3, p. 263-268
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Publisher: |
John Wiley & Sons, Ltd. |
Saved in:
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