A (predictive) Bayesian net benefit approach to cost�effectiveness analysis

• Autores: E. Moreno, Francisco Javier Girón González-Torre, Francisco José Vázquez Polo, Miguel Angel Negrín Hernández
• Localización: XXX Congreso Nacional de Estadística e Investigación Operativa y de las IV Jornadas de Estadística Pública: actas, 2007, ISBN 978-84-690-7249-3
• Idioma: inglés
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• Resumen

  • Health economic literature on cost�effectiveness analysis assumes as the quantity of interest a linear combination of the mean of the sampling distribution of the effectiveness and the cost. We argue that this is not always reasonable.

    The reasons are that (i) the comparison of the treatments is made in mean and for interesting models the mean of the distribution of the cost, conditional on the available data, does not exist, (ii) even for models for which the mean does exist, it might not be a good summary of the distribution.

    In this paper we present a general Bayesian cost�effectiveness analysis of a single treatment, where the quantity of interest is the distribution, conditional on the data, of the net benefit. We also give a natural extension to several treatments which permits their statistical comparison. Illustrations with treatments comparison for real and simulated data are given.