Computational Modelling Group

Seminar  19th December 2012 2:30 p.m.  54/10031

Optimal design in nonlinear mixed effects models with application in pharmacokinetics

France Mentre
Inserm - University Paris Diderot

Web page
Agent-Based Negotiation, Bioinformatics, Biomathematics, Biomedical, Biometrics, Complex Systems, Data Acquisition, Data Management, Epidemiology, Monte Carlo, Scientific Computing
Dave Woods

France Mentre is a Professor of Biostatistics and, since 2003, Director of the research unit UMR 738 of University Paris Diderot and INSERM called "Models and Methods for the therapeutic assessment of chronic diseases" and since 2009 head of the team “ Biostatistical Modelling and Pharmacometrics” created in January 2009. Her main methodological research areas include

Exact estimation methods in nonlinear mixed-effect models

Design optimisation in nonlinear mixed-effect models (

Model evaluation in nonlinear mixed-effect models (

Model selection, covariate tests and pharmacogenetics

Modelling data from interaction or bioequivalence studies

Her main application areas include

Pharmacology and pharmacogenetics of antiretroviral drugs in HIV patients

Variability of the response to oral anticoagulant drugs

Pharmacokinetic/pharmacodynamic parameters, efficacy and antibiotic resistance

Chemosensitivity to antimalarial agents

Evolution of biomarkers of the Gaucher disease, with or without treatment

Infectious endocarditis

Bioequivalence of monoclonal antibodies