E. Niclas Jonsson, PhD: No financial relationships to disclose
This workshop provides theoretical insights and hands-on training (using R, NONMEM, and PsN) in applying the Full Random Effects Model (FREM) to integrate covariate data into your modeling process effectively for robust decision-making in pharmacometrics. By the end of this workshop, participants will: ● Understand the fundamentals of the FREM methodology. ● Gain hands-on experience implementing FREM for model-based decision-making in various pharmacometric contexts. ● Learn to interpret and apply FREM results to improve modeling and decision-making processes. It is intended for scientists with a modeling background and a basic understanding of the drug development process. It is particularly suited for professionals in pharmacokinetics, biopharmaceutics, and regulatory science.
