Role of modelling and simulation in Phase I drug development, European Journal of Pharmaceutical Sciences, vol.13, issue.2, pp.115-122, 2001. ,
DOI : 10.1016/S0928-0987(01)00096-3
Evaluating pharmacokinetic/pharmacodynamic models using the posterior predictive check, Journal of Pharmacokinetics and Pharmacodynamics, vol.28, issue.2, pp.171-192, 2001. ,
DOI : 10.1023/A:1011555016423
Guidance for Industry: Population Pharmacokinetics, 1999. ,
Are population pharmacokinetic and/or pharmacodynamic models adequately evaluated? A survey of the literature from, Clin. Pharmacokinet, pp.46-221, 2002. ,
URL : https://hal.archives-ouvertes.fr/inserm-00159124
Evaluation of population (NONMEM) pharmacokinetic parameter estimates, Journal of Pharmacokinetics and Biopharmaceutics, vol.15, issue.2, pp.18-161, 1990. ,
DOI : 10.1007/BF01063558
NONMEM Version 5, 1998. ,
Population pharmacokinetics analysis of mizolastine and validation from sparse data on patients using the nonparametric maximum likelihood method, J. Pharmacokinet. Biopharm, pp.26-133, 1998. ,
Markov chain Monte Carlo in practice, Boca Raton, 1996. ,
The Visual Predictive Check: superiority to standard diagnostic (Rorschach) plots, 14 th meeting of the Population Approach Group in Europe, 2005. ,
Prediction Discrepancies for the Evaluation of Nonlinear Mixed-Effects Models, Journal of Pharmacokinetics and Pharmacodynamics, vol.30, issue.3, pp.345-67, 2006. ,
DOI : 10.1007/s10928-005-0016-4
Validation methods in population pharmacokinetics: a new approach based on predictive distributions with an evaluation by simulations, 10 th meeting of the Population Approach Group in Europe, 2001. ,
Metrics for External Model Evaluation with an Application to the Population Pharmacokinetics of Gliclazide, Pharmaceutical Research, vol.91, issue.9, pp.2036-2085, 2006. ,
DOI : 10.1007/s11095-006-9067-5
URL : https://hal.archives-ouvertes.fr/inserm-00189557
Normalised prediction distribution errors for the evaluation of nonlinear mixed-effects models, 16 th meeting of the Population Approach Group in Europe, 2007. ,
R: A language and environment for statistical computing, R Foundation for Statistical Computing, 2004. ,
16 th meeting of the Population Approach Group in Europe, 2007. ,
Xpose???an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM, Computer Methods and Programs in Biomedicine, vol.58, issue.1, pp.51-64, 1999. ,
DOI : 10.1016/S0169-2607(98)00067-4
Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs, Computer Methods and Programs in Biomedicine, vol.65, issue.2, pp.141-51, 2001. ,
DOI : 10.1016/S0169-2607(00)00117-6
Optimization of Individual and Population Designs Using Splus, Journal of Pharmacokinetics and Pharmacodynamics, vol.30, issue.6, pp.417-460, 2003. ,
DOI : 10.1023/B:JOPA.0000013000.59346.9a
Adjusted P-Values for Simultaneous Inference, Biometrics, vol.48, issue.4, pp.1005-1018, 1992. ,
DOI : 10.2307/2532694
MONOLIX (MOdèles NOn LInéaires à effets miXtes), MONOLIX group, 2005. ,
Nonlinear models for repeated measurement data, 1995. ,
Conditional Weighted Residuals (CWRES): A Model Diagnostic for the FOCE Method, Pharmaceutical Research, vol.26, issue.12, pp.2187-97, 2007. ,
DOI : 10.1007/s11095-007-9361-x
Ways to fit a pharmacokinetic model with some data below the quantification limit, Journal of Pharmacokinetics and Pharmacodynamics, vol.28, issue.5, pp.481-504, 2001. ,
DOI : 10.1023/A:1012299115260
Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model, Computational Statistics & Data Analysis, vol.51, issue.3, pp.51-1562, 2006. ,
DOI : 10.1016/j.csda.2006.05.007
URL : https://hal.archives-ouvertes.fr/inserm-00182360
Patterns and power for the visual predictive check, 15 th meeting of the Population Approach Group in Europe, 2006. ,
Diagnosing Model Diagnostics, Clinical Pharmacology & Therapeutics, vol.23, issue.1, pp.17-20, 2007. ,
DOI : 10.1038/sj.clpt.6100241