increasingly popular technique for reviewing the results of clinical trials in drug development is pharmacometrics modelling. This chapter focuses on pharmacometrics' theoretical and applied elements. It begins by outlining the fundamental elements of pharmacometrics. The reasoning for the pharmacometrics analysis is then thoroughly reviewed. This includes developing the engineering-based dynamic processes that define the system under consideration, which are obtained by translating biological processes into a mathematical framework; using nonlinear mixed-effect modelling as the statistical modelling approach to define the distribution of the model parameters (pharmacokinetics (PK)/pharmacodynamics (PD)); formulating the model; and using optimization techniques, such as the Monte Carlo expectation maximisation algorithm.
Yong Xiao Wang
Albany Medical College, United States
Consolato M Sergi
Universities of Alberta and Ottawa, Canada
Vladlen Slepak
University of Miami Miller School of Medicine, United States
Andreas M Papas
Antares Health Products, United States
Axel H Schonthal
University of Southern California, United States
Bernd Blobel
University of Regensburg, Germany
Gurpreet Singh
IQVIA, United Kingdom
Rassa Pegahi
UPSA, France
Tanuja Tummala
Harrisburg University of Science and Technology, United States
Natassa Pippa
University of Athens, GreeceSubmit your abstract Today
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