A 2 days workshop on the Monolix Suite will be given by Marc Lavielle on the 6th and 7th of june. The course is designed for both beginners and advanced modellers.

Attendants can choose to attend either both days, Day 1 only or Day 2 only:

• Day 1 will provide a complete presentation of how to use Monolix for modelling, population analysis and parameter estimation. It covers basic and standard PKPD modelling as well as advanced modelling features.
• Day 2 will provide training on Simulx, a new clinical trial simulator for the simulation and visualization of longitudinal data and virtual patient populations. Simulx is now available as a standalone user-friendly, graphical application, and can also be used within R as a powerful simulation R package thanks to its combination with mlxR, a DDMoRe-sponsored library developed by Inria which contains several R functions for advanced clinical trial simulations. Finally the course will present complete workflows for modelling, exploration and simulation with the full Monolix Suite (Monolix, Mlxplore, Simulx)

Students and academics have access to free, renewable licenses of MonolixSuite. Industry participants will be provided a three months license of a full-featured version of MonolixSuite.

Marc Lavielle is a Research Director at Inria and has been leading the Monolix project since 2004. He created and led the CNRS Research Group “Statistics and Health”. He is a member of the French National Council for Biotechnologies. He has worked on the development of maximum-likelihood estimation methods, applied to a broad area of applications (geophysics, signal processing, neuro-imaging, agronomy, genetics, PKPD,…). Marc Lavielle is the author of the book Mixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools (Chapman & Hall/CRC Biostatistics Series, 2014). He has also co-authored several papers on various aspects of statistical estimation and on SAEM algorithm. Several of the methods that he developed are implemented in the Monolix software. He received in 2015 the Innovation Award from the International Society of Pharmacometrics and the Innovation Award from the French Academy of Sciences.