<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>Se implementa la metodología propuesta por Tellez & López-Ríos (2013) para el aumento del número de puntos de soporte en un diseño D-óptimo bayesiano en modelos de dos compartimientos. Se consideran los datos presentados en Fresen (1986), referido en Atkinson et al. (2007), donde se modela la relaci ́on entre la cantidad de Teofilina inoculada en la sangre de un potro y el tiempo de reacción de dicho medicamento a partir de un modelo de dos compartimientos. Los resultados anal ́ıticos obtenidos en el trabajo enunciado previamente se validan y se muestra el buen comportamiento de la metodología en términos de potencia y eficiencia al compararlos con otros diseños disponibles en la literatura. </span></p></div></div></div>
A procedure to choose the best non-parametric estimator from among all nonparametric methods to fit regression curves is described. The methodology that is proposed prevents a lack of fit at the edges of the regression curve. The method is summed up in a few steps to facilitate its application by researchers. The procedure is applied to the determination of various curves that explain the anti-inflammatory activity of diverse extracts of Sideritis foetens and phenylbutazone against the time elapsed from the application of the agent which provokes the inflammation. Discussion shows that it is possible to obtain valid conclusions about the effects of the different products and to establish comparisons between them. Such conclusions are not possible when starting from the classical statistics methods usually employed in pharmacology.
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