Optimal Design for Pharmacometrics
9 - 12 February 2015
Munich, Germany
How do we use prior study information to improve the next study? Optimal
Design does exactly this. We can predict better sampling times, better dose
levels to use, the number of groups and subjects to use to achieve needed
power, and more.
Three of the world's top experts, Stephen Duffull, Andrew Hooker and France
Mentré, in Optimal Design have created a customized four-day course to explain
some of the theory behind Optimal Design, lead small group discussions on
setting up, and interpreting Optimal Designs. An entire day will be devoted to
hands-on examples with the PFIMOpt software.
Prerequisites: Understanding of the basics of mixed effects compartmental
modeling (aka, population modeling) and experience with some kind of population
PKPD modeling software.
Topics Include:
· Introduction to the study design
· Introduction to the Fisher Information Matrix (FIM)
- FIM for nonlinear models and nonlinear mixed effects models
- Design optimization
- D-optimality, C-optimality, etc. and their interpretations
· Accounting uncertainty in beliefs about the parameter and model space
· Design constraints in optimization (number of samples, time ranges,
groups, etc.)
· Multiple response models - turnover models and others in PKPD
· Maximizing the probability of experimental success, the ability to
discriminate between models
· An introduction to adaptive design
· Handling data below the limit of quantitation
· Study power and optimal design
Sign up today!
20% early registration discount (Expires 8 December 2014)
30% off of groups
50% off for students
Register Now. https://www.certara.com/training/classes/74
Special Rates Available at the Maritim
http://www.maritim.de/de/hotels/deutschland/hotel-muenchen/uebersicht,
http://www.maritim.de/de/hotels/deutschland/hotel-muenchen/uebersicht, if
reserved by 14 December 2014 Please provide the code 1CER080215
Alicia Holmes
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Implementing Translational Science
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