Non-Linear Mixed Effects Modeling ??? From Methodology and Software Development to Driving Implementation in Drug Development Science, Journal of Pharmacokinetics and Pharmacodynamics, vol.72, issue.6, pp.161-183, 2005. ,
DOI : 10.1007/s10928-005-0062-y
Performance Comparison of Various Maximum Likelihood Nonlinear Mixed-Effects Estimation Methods for Dose???Response Models, The AAPS Journal, vol.14, issue.3, pp.420-432, 2012. ,
DOI : 10.1208/s12248-012-9349-2
URL : https://hal.archives-ouvertes.fr/inserm-00709829
Comparison of Nonmem 7.2 estimation methods and parallel processing efficiency on a target-mediated drug disposition model, Journal of Pharmacokinetics and Pharmacodynamics, vol.98, issue.1, pp.17-35, 2012. ,
DOI : 10.1007/s10928-011-9228-y
Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0, Computer Methods and Programs in Biomedicine, vol.98, issue.1, pp.55-65, 2010. ,
DOI : 10.1016/j.cmpb.2009.09.012
URL : https://hal.archives-ouvertes.fr/inserm-00431457
Covariate Detection in Population Pharmacokinetics Using Partially Linear Mixed Effects Models, Pharmaceutical Research, vol.40, issue.4, pp.541-549, 2005. ,
DOI : 10.1007/s11095-005-2492-z
Experimental design and efficient parameter estimation in population pharmacokinetics, Journal of Pharmacokinetics and Biopharmaceutics, vol.46, issue.4, pp.347-360, 1990. ,
DOI : 10.1007/BF01062273
Fisher information matrix for non-linear mixed-effects models: evaluation and application for optimal design of enoxaparin population pharmacokinetics, Statistics in Medicine, vol.26, issue.6, pp.2623-2639, 2002. ,
DOI : 10.1002/sim.1041
Prospective Evaluation of a D-Optimal Designed Population Pharmacokinetic Study, Journal of Pharmacokinetics and Pharmacodynamics, vol.30, issue.2, pp.145-161, 2003. ,
DOI : 10.1023/A:1024467714170
Prediction of Shrinkage of Individual Parameters Using the Bayesian Information Matrix in Non-Linear Mixed Effect Models with Evaluation in Pharmacokinetics, Pharmaceutical Research, vol.78, issue.1???2, pp.2355-2367, 2013. ,
DOI : 10.1007/s11095-013-1079-3
URL : https://hal.archives-ouvertes.fr/inserm-00849820
Bayesian design criteria: Computation, comparison, and application to a pharmacokinetic and a pharmacodynamic model, Journal of Pharmacokinetics and Biopharmaceutics, vol.19, issue.1, pp.101-125, 1995. ,
DOI : 10.1007/BF02353788
Importance of Shrinkage in Empirical Bayes Estimates for Diagnostics: Problems and Solutions, The AAPS Journal, vol.11, issue.3, pp.558-569, 2009. ,
DOI : 10.1208/s12248-009-9133-0
Multiple single nucleotide polymorphism analysis using penalized regression in nonlinear mixed-effect pharmacokinetic models, Pharmacogenetics and Genomics, vol.23, issue.3, pp.167-174, 2013. ,
DOI : 10.1097/FPC.0b013e32835dd22c
Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity, Biostatistics, vol.14, issue.4, pp.682-694, 2013. ,
DOI : 10.1093/biostatistics/kxt015
Pharmacogenetics and population pharmacokinetics: impact of the design on three tests using the SAEM algorithm, Journal of Pharmacokinetics and Pharmacodynamics, vol.30, issue.4, pp.317-339, 2009. ,
DOI : 10.1007/s10928-009-9124-x
URL : https://hal.archives-ouvertes.fr/inserm-00406739
An approximate likelihood approach to nonlinear mixed effects models via spline approximation, Computational Statistics & Data Analysis, vol.46, issue.4, pp.747-776, 2004. ,
DOI : 10.1016/j.csda.2003.10.011
A comparison of estimation methods in nonlinear mixed effects models using a blind analysis. PAGE (Population Approach Group in Europe) 14, pp.16-17 ,
Evaluation of Uncertainty Parameters Estimated by Different Population PK Software and Methods, Journal of Pharmacokinetics and Pharmacodynamics, vol.21, issue.3, pp.289-311, 2007. ,
DOI : 10.1007/s10928-006-9046-9
New estimation methods in NONMEM 7: evaluation of robustness and runtimes, PAGE (Population Approach Group in Europe), vol.19, pp.8-11, 2010. ,
New estimation methods in NONMEM 7: evaluation of bias and precision, PAGE (Population Approach Group in Europe), vol.19, pp.8-11, 2010. ,
Shrinkage in Nonlinear Mixed-Effects Population Models: Quantification, Influencing Factors, and Impact, The AAPS Journal, vol.14, issue.4, pp.927-936, 2012. ,
DOI : 10.1208/s12248-012-9407-9
Building population pharmacokineticpharmacodynamic models. I. Models for covariate effects, Journal of Pharmacokinetics and Biopharmaceutics, vol.19, issue.5, pp.511-528, 1992. ,
DOI : 10.1007/BF01061469
The lasso???a novel method for predictive covariate model building in nonlinear mixed effects models, Journal of Pharmacokinetics and Pharmacodynamics, vol.32, issue.2, pp.485-517, 2007. ,
DOI : 10.1007/s10928-007-9057-1
Power, Selection Bias and Predictive Performance of the Population Pharmacokinetic Covariate Model, Journal of Pharmacokinetics and Pharmacodynamics, vol.31, issue.2, pp.109-134, 2004. ,
DOI : 10.1023/B:JOPA.0000034404.86036.72
Sparse-Sampling Optimal Designs in Pharmacokinetics and Toxicokinetics, Therapeutic Innovation & Regulatory Science, vol.29, issue.3, pp.997-1019, 1995. ,
DOI : 10.1177/009286159502900321