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Optimal Population Designs for Discrimination Between Two Nested Nonlinear Mixed Effects Models.


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.


Palabras clave

Optimal Designs, Mixed Effects Model, T-Optimal Designs. (Diseños T-óptimos, diseños óptimos, modelo de efectos mixtos.)



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