Abstract
Cost–effectiveness analysis of medical treatments is a statistical decision problem whose aim is to choose an optimal treatment among a finite set of alternative treatments. It is assumed that the treatment selection is to be based on their cost and effectiveness.
In this paper we revise this statistical decision problem, discuss two utility functions, and assume Bayesian models for the cost and the effectiveness. For illustrating the performance of the utility functions an example with simulated data is presented.
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Acknowledgements
This work has been support in part by grants ECO2013–47092–P and MTM2014–55372–P (MINECO, Spain).
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Moreno, E., Vázquez–Polo, FJ., Negrín, M.A., Martel–Escobar, M. (2018). The Bayesian Cost–Effectiveness Decision Problem. In: Bucciarelli, E., Chen, SH., Corchado, J. (eds) Decision Economics: In the Tradition of Herbert A. Simon's Heritage. DCAI 2017. Advances in Intelligent Systems and Computing, vol 618. Springer, Cham. https://doi.org/10.1007/978-3-319-60882-2_1
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DOI: https://doi.org/10.1007/978-3-319-60882-2_1
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