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/