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- W1991444773 abstract "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." @default.
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- W1991444773 date "1999-05-01" @default.
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- W1991444773 title "A Bayesian approach to sensitivity analysis" @default.
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- W1991444773 doi "https://doi.org/10.1002/(sici)1099-1050(199905)8:3<263::aid-hec426>3.0.co;2-s" @default.
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