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In conclusion, we have developed an informal unified approach for the assessment of both structural and deterministic identifiability for both fixed- and random-effects parameters in population models.
The purpose of this paper is to develop and evaluate a unified approach for identifiability analysis of both fixed and mixed-effects PKPD models that encompasses both structural and deterministic identifiability.
In this work, assessment of both structural and deterministic identifiability is based on an information theoretic approach (see Mentré et al. for an introduction to this approach for nonlinear mixed-effects models) involving computation of the Fisher information matrix (M F ).
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Identifiability of models is classified into two types: structural and deterministic identifiability.
In this study, we develop an informal unified approach for simultaneous assessment of structural and deterministic identifiability for fixed and mixed-effects pharmacokinetic or pharmacokinetic pharmacodynamic models.
An informal, unified approach using an information theoretic framework has recently been developed for simultaneous assessment of structural and deterministic identifiability for fixed- and mixed-effects pharmacokinetic pharmacodynamic (PKPD) models.
It is about development, both structural and creative.
Both structural and material properties were determined.
The Newtonian conception is both complete and deterministic.
Both probabilistic and deterministic approaches were used in the analysis.
Both randomised and deterministic attack functions have been studied.
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