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A Bayesian approach to sensitivity analysis

✍ Scribed by James C. Felli; Gordon B. Hazen


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
95 KB
Volume
8
Category
Article
ISSN
1057-9230

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✦ Synopsis


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.


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