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        "resumen" => "<p class="elsevierStyleSimplePara elsevierViewall">El presente trabajo pretende ilustrar las ventajas de los m&#233;todos probabil&#237;sticos en la evaluaci&#243;n econ&#243;mica de tecnolog&#237;as sanitarias&#46; Estos m&#233;todos consisten en representar cada uno de los par&#225;metros del modelo mediante funciones de distribuci&#243;n probabil&#237;sticas&#44; y ofrecen un an&#225;lisis de la incertidumbre de los par&#225;metros del modelo mucho mejor que el que se podr&#237;a llevar a cabo con m&#233;todos determin&#237;sticos&#46; Los resultados que se obtienen con los m&#233;todos probabil&#237;sticos se pueden representar mediante una nube de puntos que representa la distribuci&#243;n conjunta de costes y efectos en un mismo plano&#46; Este tipo de informaci&#243;n es la que se recoge en la curva de aceptabilidad coste-efectiva&#44; que indica la probabilidad de que una determinada tecnolog&#237;a sanitaria sea coste-efectiva para un determinado valor del AVAC&#46;</p>"
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        "resumen" => "<p class="elsevierStyleSimplePara elsevierViewall">The present article illustrates the advantages of probabilistic methods in health technology assessment&#46; Using probabilistic distributions for parameters&#44; these methods represent parameter uncertainty more effectively than deterministic models&#46; The results of this simulation process represent the joint distribution of cost and effects in the cost-effective plane&#46; More precisely&#44; the cost-effectiveness ratio of each simulation is used to determine whether the ratio is cost effective in relation to the ceiling ratio&#46; This kind of information is represented in the cost-effectiveness acceptability curve&#44; which indicates the probability of a health technology being cost-effective for a particular quality-adjusted life year value&#46;</p>"
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