Dear all, Mats Karlsson and I (Andrew Hooker) will give a 2.5-day course on “Advanced methods for population model building and evaluation in NONMEM", 28-30 November, 2018 in Boston, MA, USA. The course presents the latest methods for model evaluation, strategies for model improvement as well as strategies to consider when utilizing models for informed drug development. The course provides tools for fast, efficient and comprehensive model building, evaluation and usage.
The course will consist of lectures that describe and evaluate the various strategies used to develop robust and useful population models as well as hands-on computer exercises where students will actually use those strategies in the classroom. The hands-on material will be based on the most recent developments from NONMEM 7.4, PsN and Xpose. Topics covered: • Model evaluation – Numerical – Prediction-Based – Residual-Based – Empirical Bayes Estimate (EBE)-Based – Simulation-Evaluation/Estimation-Based – Covariate model focused diagnostics – Parameter uncertainty • Model improvement strategies – Parameter variability – Covariate models – Residual error – Handling censored data (BQL) • To consider when applying models for informed drug development – Type I and II errors – Estimation methods – Model averaging Intended course participants: The course is designed for those who have a good working knowledge of pharmacometric analysis with experience in performing NONMEM analyses and/or have attended a NONMEM basic workshop. Support from Alnylam for facilities is greatly acknowledged. For more information and registration, see <http://www.uppsala-pharmacometrics.com/build_diagnose_boston_2018.html> http://www.uppsala-pharmacometrics.com/build_diagnose_boston_2018.html Best regards, Andrew Andrew Hooker, Ph.D. Associate Professor of Pharmacometrics Dept. of Pharmaceutical Biosciences Uppsala University Box 591, 751 24, Uppsala, Sweden Phone: +46 18 471 4355 Mobile: +46 768 000 725 www.farmbio.uu.se/research/researchgroups/pharmacometrics/ När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/om-uu/dataskydd-personuppgifter/
