Dear all,

Uppsala Pharmacometrics 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 will provide 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

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/









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