Optimal Population Designs for Discrimination Between Two Nested Nonlinear Mixed Effects Models. (Diseños poblacionales óptimos para discriminación entre dos modelos no lineales de efectos mixtos anidados.)

Contenido principal del artículo

Autores

M. E. Castañeda L.
V. I. López-Ríos

Resumen

Abstract

In this paper we consider the problem of finding optimal population designs for discrimination between
two nested nonlinear mixed effects models which differ in their intra-individual covariance matrix. The
criterion proposed is a generalization of the T-optimality criterion. For this criterion an equivalence theorem is provided. The application of the criterion is illustrated with an example in pharmacokinetic.

 

Resumen

En este artículo se considera el problema de encontrar diseños poblacionales óptimos para dicriminar entre dos modelos no lineales de efectos mixtos anidados, los cuales difieren en su matriz de covarianza intraindividual. El criterio propuesto es una generalización del criterio de T-optimalidad, para él se proporciona el respectivo teorema de equivalencia, y su aplicación se ilustra por medio de un ejemplo en farmacocinética.


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Detalles del artículo

Referencias

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