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.
Vladlen Slepak
University of Miami School of Medicine, United States
Axel H Schonthal
University of Southern California, United States
Bernd Blobel
University of Regensburg, Germany
Consolato M Sergi
University of Alberta, Canada
Luis Jesus Villarreal Gomez
Universidad Autónoma de Baja California, Mexico
Anil Pareek
Anand Pharmacy College, India
Saad Tayyab
UCSI University, Malaysia
Lan Wang
Paretor LLC, United States
Ravi P Sahu
Wright State University, United States
Bhasker Sambar
Alvogen Inc, United StatesSubmit your abstract Today
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