Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/48767
Título: | Complementing information from incremental net benefit: A Bayesian perspective | Autores/as: | Moreno, E. Girón, F. J. Vázquez-Polo, F. J. Negrín, M. A. |
Fecha de publicación: | 2010 | Editor/a: | 1387-3741 | Publicación seriada: | Health Services and Outcomes Research Methodology | Resumen: | Cost-effectiveness analysis of a treatment is typically based on specific functions of the expectation of the effectiveness and cost of the treatment, and treatment comparisons are made in the same vein. The mathematical expectation has been the cornerstone for defining the incremental cost-effectiveness ratio and the incremental net benefit, the most popular tools for cost-effectiveness analysis for pairwise treatment comparisons. In this paper we propose a framework for cost-effectiveness analysis based on the whole posterior distribution of effectiveness and cost. We adopt a Bayesian perspective and use the predictive posterior distribution of the net benefit. The analysis based on the whole posterior distribution captures the uncertainty about the value of effectiveness and cost of the treatment and overcomes some limitations presented by the mean, as a summary measure, when skewed data are considered. Furthermore, it allows us to compare more than two treatments. An illustration with real data is provided. | URI: | http://hdl.handle.net/10553/48767 | ISSN: | 1387-3741 | DOI: | 10.1007/s10742-010-0059-x | Fuente: | Health Services and Outcomes Research Methodology[ISSN 1387-3741],v. 10, p. 86-99 |
Colección: | Artículos |
Citas SCOPUSTM
4
actualizado el 08-sep-2024
Citas de WEB OF SCIENCETM
Citations
4
actualizado el 08-sep-2024
Visitas
58
actualizado el 07-sep-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.