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Workshop: FREM in practical use – implementation and interpretation

Workshop: FREM in practical use – implementation and interpretation

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.

Overview

This workshop dives deep into the FREM methodology. Participants will gain practical experience using FREM to assess how different factors affect model predictions and ultimately drive decision-making in drug development. The session will also include hands-on exercises where participants will implement FREM in real-world case studies, reinforcing learning and building confidence in using this approach for model-based decision support.

Workshop goals

Equip participants with the skills and knowledge to implement FREM for assessing covariate impacts and support decision-making in pharmacometrics.

Workshop learning objectives

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.

Key topics covered

Fundamentals of the FREM methodology and how to use it for assessing covariate impacts in pharmacometric models.
Model-based decision-making techniques using FREM.
Hands-on implementation of FREM in pharmacometrics.
Interpretation and application of FREM results in real-world drug development.

Target audience

This workshop 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.

Workshop requirements

Participants should bring their own laptops with the required software installed (R, NONMEM, and PsN).

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Pharmetheus AB
Kungsängstull 4  
753 19 Uppsala, Sweden

Visiting address:  
Dragarbrunnsgatan 77, 5th floor

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