Comprehensive comparison of six optimization algorithms for automated population pharmacokinetic model selection via two simulation studies and eleven real case studies.

Matthias Pierre¹, Frano Mihaljevic², Geraldine Celliere², Julie Bertrand³

¹Université Paris Cité et Université Sorbonne Paris Nord, IAME, INSERM, F-75018 Paris, France; Simulations Plus, Inc., United States.

²Simulations Plus, Inc., United States.

³Université Paris Cité et Université Sorbonne Paris Nord, IAME, INSERM, F-75018 Paris, France. Electronic address: julie.bertrand@inserm.fr.

PubMed DOI

Abstract

BACKGROUND AND OBJECTIVES: Prior efforts to automate population pharmacokinetic structural and statistical model selection have explored various algorithms with mixed results. This study is conducting a comprehensive comparison of six distinct optimization algorithms for selecting pharmacokinetic and target-mediated drug disposition models. Our objective is to determine which algorithms to use pre…

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