ParkinsonCanadaV1, Main, Exploration, bibRecord, 002F23

Measures of importance for economic analysis based on decision modeling

Identifieur interne : 002F23 ( Main/Exploration ); précédent : 002F22; suivant : 002F24

Measures of importance for economic analysis based on decision modeling

Auteurs : Douglas Coyle [Canada] ; Martin J. Buxton [Royaume-Uni] ; Bernie J. O'Brien [Canada]

Source :

Journal of clinical epidemiology [ 0895-4356 ] ; 2003.

RBID : Pascal:04-0126316

Descripteurs français

Pascal (Inist)
- Analyse économique, Homme, Evaluation, Modélisation, Prise décision, Parkinson maladie, Traitement.
Wicri :
- topic : Analyse économique, Homme.

English descriptors

KwdEn :
- Cost-Benefit Analysis, Decision Theory, Decision making, Economic analysis, Epidemiologic Methods, Evaluation, Health Care Costs, Human, Humans, Modeling, Models, Econometric, Parkinson Disease (economics), Parkinson Disease (therapy), Parkinson disease, Probability, Treatment, Treatment Outcome.
MESH :
- economics : Parkinson Disease.
- therapy : Parkinson Disease.
- Cost-Benefit Analysis, Decision Theory, Epidemiologic Methods, Health Care Costs, Humans, Models, Econometric, Probability, Treatment Outcome.

Abstract

In probabilistic economic analysis, the uncertainty concerning input parameters is quantified, and determines the level of uncertainty over the optimal decision. Researchers from a wide range of disciplines employ mathematical models to simulate complex processes. Common through many such disciplines is the conduct of importance analysis to determine those input parameters that contribute most to the uncertainty over the optimal decision based on the results of the analysis. In this study, we compare a range of potential importance measures to see how they compare with methods used in economic analysis. Techniques were classified as variance/correlation, information, probability, entropy, or elasticity-based measures. A selection of the most commonly used measures were applied to an economic model of treatment for patients with Parkinson's disease. Techniques were evaluated in terms of their ranking of variables, complexity, and interpretation.

Affiliations:

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<front><div type="abstract" xml:lang="en">In probabilistic economic analysis, the uncertainty concerning input parameters is quantified, and determines the level of uncertainty over the optimal decision. Researchers from a wide range of disciplines employ mathematical models to simulate complex processes. Common through many such disciplines is the conduct of importance analysis to determine those input parameters that contribute most to the uncertainty over the optimal decision based on the results of the analysis. In this study, we compare a range of potential importance measures to see how they compare with methods used in economic analysis. Techniques were classified as variance/correlation, information, probability, entropy, or elasticity-based measures. A selection of the most commonly used measures were applied to an economic model of treatment for patients with Parkinson's disease. Techniques were evaluated in terms of their ranking of variables, complexity, and interpretation.</div>
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La maladie de Parkinson au Canada (serveur d'exploration)

Measures of importance for economic analysis based on decision modeling

Measures of importance for economic analysis based on decision modeling

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

	La maladie de Parkinson au Canada (serveur d'exploration)
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