ASoP Workshop: Population Pharmacometrics Modeling with Monlix. May 17-18, Somerset, NJ

The American Society of Pharmacometrics (ASoP) is sponsoring a 2 day workshop: *Population Pharmacometrics Modeling with Monlix*. The instructor for this workshop is *Marc Lavielle*. *Date:* May 17-18, 2012 *Workshop fee* (includes coffee and lunch on both days): $975.00 for ASoP members $1275.00 for non-ASoP members – to join ASoP, visit our website: www.go-asop.org. *Location*: Fairfield Inn and Suites 315 Davidson Ave., Somerset NJ 08873 Phone #732-627-8483 http://www.marriott.com/hotels/travel/sosfi-fairfield-inn-and-suites-somerset You must inform the hotel you are attending the ASoP workshop to get the reduced room rate of $119 (includes breakfast). *Software*: We will use Monolix for illustrating the concepts and methods presented during the workshop. The course will include several hands-on sessions, with attendees working on their own laptop. Monolix 4.1 can be downloaded from the Lixoft website: www.lixoft.com/monolix/get-monolix. Once there, fill in the fields selecting “MonolixCourse” for the question “ How will you use the software?” In the message frame put in the name of this workshop. Industry participants will then receive a free 3 month license. (Monolix remains free of charge for academic participants). *Workshop Summary*: This workshop aims to present a rigorous approach of pharmacometrics model building. It focuses on the truly essential activities of the modeler: easily and rapidly fitting complex models on data, and using reliable tools to select and validate the best models. The agenda will cover the implementation of basic and complex pharmacometrics models, including models for continuous, categorical, count and time to event data. If the Pharmacometrics model is a fundamental component of the model, the statistical component is also essential to describe both the inter-subject and intra-subject variability. A strong emphasis will be put in this workshop on presenting statistical models in a simple but very rigorous manner. The modeler’s role is not to know and master all the technical details of the algorithms implemented in the software tools. It is nevertheless important to understand what the algorithms are doing and to verify the validity of their results. We will explain in this course the principles of the SAEM algorithm and other algorithms developed for a practical use of non linear mixed effects models. We will show how to validate their convergence. *Marc Lavielle* has been leading the Monolix project since 2004. He is a Research Director at Inria Saclay, France. 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. He has 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. Registration is limited to 40 participants so early registration is suggested. To register, visit http://www.go-asop.org/monolix-workshop We look forward to your attendance and participation! Questions? Please contact us at [email protected].