Liens vers les sites de modélisations en approche de population

Organizations

EMR3738 UCBL/HCL The Fundamental and Translational Research is performed within the EMR3738 university team. The team is managed by Professor Michel Tod, with a more fundamental focus on in silico pharmacokinetic-pharmacodynamic (PK-PD) modelling, they also work alongside the pharmaceutical industry during cancer drug development.
LAPK Laboratory of Applied Pharmacokinetics and Bioinformatics.
PAGE Created in 1992 by Drs Brigitte Tranchand and Pascal Girard members of EA3738 and Dr Jean-Louis Steimer from Novartis, PAGE (Population Approach Group in Europe) is a group of scientists interested in data analysis using the population approach. Every year a congress gathering more than 400 persons (pharmacologists, mathematicians, doctors) is organized in various European countries. On the site you will find the programs and abstracts of the various congresses.
Pharmacokinetic Resources This site maintained by David Bourne, OUHSC College of Pharmacy, provides links to information about the discipline of Pharmacokinetics.

Logiciels

MONOLIX MONOLIX (MOdèles NOn LInéaires à effets miXtes) is a software developed by INRIA with the cooperation of scientists, members of Group Monolix. Programmed in MATLAB this software uses the algorithm SAEM. Various modules were developed among which the classic models in PK-PD, graphical ouput, handling of values below the limit of quantification...
NONMEM® NONMEM® (NON linear Mixed Effect Models) software was developped by the NONMEM Project at the University of California at San Francisco. Since 1979, the project was managed by Lewis Sheiner, Stuart Beal and Alison Boeckmann. Today ICON Development Solutions is the licensor of the software.
PFIM PFIM (acronym of Population Fisher Information Matrix) is a set of tools developed under R for the evaluation and the optimization of designs in population PK-PD studies.
Xpose Xpose is an R-based model building aid for population analysis using NONMEM®. This interface developed under R and under S + facilitates data checkout, identification of covariables, model diagnostics and model comparison. The development was performed by a team of scientists at Uppsala University in Sweden.
Perl-speaks-NONMEM (PsN) Perl-speaks-NONMEM (PsN) is a collection of Perl modules and programs aiding in the development of models using NONMEM®. It allows parameter estimate extraction from output files, data file sub setting and resampling, advanced computer-intensive statistical methods.
Wings for NONMEM® WFN (Wheels for NONMEM) is a set of DOS batch command files and awk scripts to help NONMEM® users be more productive. The first version of WFN was written in 1989 at UC San Francisco. Among all its features, it allows to start multiple NONMEM® runs from the same directory, give ordered listing of results according to objective function value, bootstrap analysis of any NONMEM® model...
BUGS BUGS (Bayesian inference Using Gibbs Sampling) is a program developed for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. BUGS version 0.6 can handle a wide range of models including linear mixed-effect models. The 1.4 version of WinBUGS is currently available and is capable of fitting non-linear mixed effect models.
WinPOPT WinPOPT and POPT are a set of programs for optimization of nonlinear mixed effects models used in PK-PD population data analysis. The programs are written in MATLAB but may be used independently of MATLAB.

Autres ressources

nonlin-model This didactic site was created by Nicolas Simon (University of Marseille). For the occasional reader, the main objective of this site is to supply quickly an introduction to NONMEM®. For the expert user, it can constitute a reminder.