Don't miss your opportunity to learn "Optimal Design for PMX" with Drs. Duffull, Hooker, and Mentré!

1 messages 1 people Latest: Jan 15, 2014
How do we use prior study information to improve the next study? Optimal Design for Pharmacometrics helps determine better sampling times, better doses, the number of groups and subjects to use to achieve needed power, and more. Three world experts in Optimal Design have created a customized four-day course to teach the theory behind Optimal Design and how to implement the theory to design better pre-clinical studies and clinical trials. The first three days will each include lectures and small group discussions on setting up and interpreting Optimal Designs. The entire fourth day will be devoted to hands-on implementation of examples with the PFIMOpt software. Register today at http://www.certara.com/training or email [email protected]<mailto:[email protected]> for more information! Date and Location: March 10-13, 2014 in Cary, NC, United States Prerequisites: Understanding of basic mixed effects compartmental modeling (aka, population modeling) and experience with population PK/PD modeling software. Topics Include: Introduction to the study design Introduction to the Fisher Information Matrix (FIM) Accounting uncertainty in beliefs about the parameter and model space Design constraints in optimization Multiple response models - turnover models and others in PK/PD An introduction to adaptive design Biographies of the instructors: Stephen Duffull is Professor of Clinical Pharmacy and the Dean of the School of Pharmacy at the University of Otago, Dunedin, New Zealand. He runs a modelling and simulation lab within the School of Pharmacy. Research interests include optimal design, MCMC methods particularly in clinical toxicology and haemostasis. He has been involved in the area of PKPD and nonlinear mixed effects modelling for 20 years. Stephen is the primary developer of WinPOPT and POPT. Andrew Hooker is an Associate Professor of Pharmacometrics at Uppsala University, Sweden. Andrew received a PhD and MSc in Bioengineering from the University of Washington and a BS in Physics (Minor in Mathematics) from the University of Colorado. His research interests range between methodological and applied pharmacometrics including: optimal experimental design, methodological problems associated with building and evaluating pharmacometric models, (repeated) time-to-event model building and the development and use of PKPD models in drug development. Therapeutic areas of interest for Andrew include cancer, addiction, PET, biologics, etc. Andrew is a primary developer of the software programs Xpose 4, PsN and the optimal design program PopED. France Mentré is Professor of Biostatistics at the University Paris Diderot (Paris 7), France. She heads an INSERM research team on Biostatistical Modelling and Pharmacometrics. She has worked on development and application of methods for nonlinear mixed-effects models in pharmacokinetics and pharmacodynamics for more than 20 years. Her main research areas in this field are optimal design, model evaluation and anti-infective agents. France is the primary developer for PFIM and PFIM Interface. Don't miss your opportunity to attend this course! Suzanne Minton, PhD Marketing Specialist Certara(tm) Implementing Translational Science 5520 Dillard Dr., Suite 260, Cary, NC 27518 Tel +1-919-852-4636 Certara: The name behind the names you know Tripos - Simcyp - Pharsight http://www.certara.com/