Population PK-PD design evaluation and optimization: PFIM and PFIM Interface

Date: Saturday, October 3, 2009

Registration Fees: Industry: $500; Academic: $250; Student/Fellow: $50

Maximum class size: 30

Sponsor: University Paris Diderot

Instructors/Teaching Assistants: France Mentré, Anne Dubois, Caroline Bazzoli

Workshop Summary:

This course is intended for beginners in population designs.  It will start by general talks on population design: background, theory and some examples. Then, a demonstration of the use of PFIM Interface will be performed. Last, the attendees will practice on PFIM Interface during the hands-on session.
The afternoon lectures on more advanced features in population PKPD design will be presented: power of test of covariates, optimization of several groups using Federov-Wynn algorythm. A lecture on the use of R script version PFIM 3.2 will be performed. Last, the course day will end by a hands-on training with PFIM 3.2.

The course will emphasize hands on training, with participants working on their own computers with R software installed (free software downloadable on the website www.r-project.org/, any versions higher than the version 2.4.1).

Schedule:

  • 8:30 - 8:45 am       Registration
  • 8:45 - 9:45 am       Introduction to population design evaluation and optimization
  • 9:45 - 10:15 am     Using PFIM Interface 3.1
  • 10:15 - 10:45 am    Coffee/Tea Break
  • 10:45 am - 12 pm   Hands-on session on PFIM Interface 3.1
  • 12:00 - 1:30 pm     Lunch
  • 1:30 - 2:00 pm       Advanced optimal design
  • 2:00 - 2:30 pm       Using PFIM 3.2
  • 2:30 - 3:00 pm       Coffee/Tea Break
  • 3:00 - 4:30            Hands-on session on PFIM 3.2

Background information:

PFIM has been developed as the first efficient tool for population PKPD design evaluation and optimization. It allows evaluation of population designs for single or multiple response models and thus returns the expected standard errors associated to the population parameters. PFIM also optimizes population designs with different optimization constraints, based on the D-optimality criterion, i.e. to maximize the determinant of the Fisher information matrix or minimize its inverse.

Since 2003, several releases of PFIM have been proposed. Currently, two main versions are implemented in parallel: a graphical user interface package (PFIM Interface) and a R scripts version (PFIM). The latter requires some knowledge in R use but benefits of the latest methodological developments performed in our research team.

PFIM versions and extensive documentation are freely available on the PFIM website www.pfim.biostat.fr.

PFIM development team consists of Caroline Bazzoli, Sylvie Retout, Emanuelle Comets, Hervé LeNagard and France Mentré belonging to the UMR738 INSERM and the University Paris Diderot based in Paris, France.