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

Abstract

In this paper we consider the problem of finding optimal population designs for discrimination betweentwo nested nonlinear mixed effects models which differ in their intra-individual covariance matrix. Thecriterion 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.