A. P. Dempster, N. M. Laird, and D. B. Et-rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, pp.1-38, 1977.

B. Delyon, M. Lavielle, and E. Et-moulines, Convergence of a stochastic approximation version of the EM algorithm, Annals of Statistics, vol.27, pp.94-128, 1999.

E. Kuhn and M. Et-lavielle, Coupling a stochastic approximation version of EM with a MCMC procedure ESAIM P&S, pp.115-131, 2004.

E. Kuhn and M. Et-lavielle, Maximum likelihood estimation in nonlinear mixed effects models Computational Statistics and Data Analysis, pp.1020-1038, 2005.

A. Samson, M. Lavielle, and F. Et-mentré, 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.1562-1574, 2006.
DOI : 10.1016/j.csda.2006.05.007

URL : https://hal.archives-ouvertes.fr/inserm-00182360

S. Donnet and A. Samson, Estimation of parameters in incomplete data models defined by dynamical systems, Journal of Statistical Planning and Inference, vol.137, issue.9, pp.2815-2831, 2007.
DOI : 10.1016/j.jspi.2006.10.013

URL : https://hal.archives-ouvertes.fr/hal-00263507

S. Donnet and A. Samson, Parametric inference for mixed models defined by stochastic differential equations, European Series in Applied and Industrial Mathematics: Probability and Statistics, pp.196-218, 2008.
DOI : 10.1051/ps:2007045

URL : https://hal.archives-ouvertes.fr/hal-00263515

X. Panhard and A. Samson, Extension of the SAEM algorithm for nonlinear mixed models with 2 levels of random effects, Biostatistics, vol.10, issue.1, pp.121-135, 2009.
DOI : 10.1093/biostatistics/kxn020

URL : https://hal.archives-ouvertes.fr/inserm-00383201

A. Samson, M. Lavielle, and F. Et-mentré, The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model, Statistics in Medicine, vol.13, issue.27, pp.4860-4875, 2007.
DOI : 10.1002/sim.2950

URL : https://hal.archives-ouvertes.fr/hal-00263511

F. Mentré, A. Mallet, and D. Et-baccar, Optimal design in random-effects regression models, Biometrika, vol.84, issue.2, pp.429-442, 1997.
DOI : 10.1093/biomet/84.2.429

S. Retout and F. Et-mentré, Further Developments of the Fisher Information Matrix in Nonlinear Mixed Effects Models with Evaluation in Population Pharmacokinetics, Journal of Biopharmaceutical Statistics, vol.13, issue.2, pp.209-227, 2003.
DOI : 10.1081/BIP-100101009

C. Bazzoli, S. Retout, and F. Et-mentré, Fisher information matrix for nonlinear mixed effects multiple response models: Evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model, Statistics in Medicine, vol.60, issue.14, 2009.
DOI : 10.1111/j.0006-341X.2004.00148.x

URL : https://hal.archives-ouvertes.fr/inserm-00371363

S. Retout, E. Comets, A. Samson, and F. Et-mentré, Design in nonlinear mixed effects models: Optimization using the Fedorov???Wynn algorithm and power of the Wald test for binary covariates, Statistics in Medicine, vol.39, issue.28, pp.5162-5179, 2007.
DOI : 10.1002/sim.2910

URL : https://hal.archives-ouvertes.fr/hal-00263513

S. Retout, E. Comets, C. Bazzoli, and F. Et-mentré, Design optimisation in nonlinear mixed effects models using cost functions: application to a joint model of infliximab and methotrexate pharmacokinetics, Statistics: Theory and Methods, 2009.

S. Retout, S. Duffull, and F. Et-mentré, 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.141-151, 2001.
DOI : 10.1016/S0169-2607(00)00117-6

M. Lavielle and F. Et-mentré, Estimation of Population Pharmacokinetic Parameters of Saquinavir in HIV Patients with the MONOLIX Software, Journal of Pharmacokinetics and Pharmacodynamics, vol.32, issue.2, pp.229-278, 2007.
DOI : 10.1007/s10928-006-9043-z

URL : https://hal.archives-ouvertes.fr/inserm-00156907

R. Thiébaut, J. Guedj, H. Jacqmin-gadda, G. Chêne, P. Trimoulet et al., Estimation of dynamical model parameters taking into account undetectable marker values, BMC Medical Research Methodology, vol.49, issue.1, pp.6-38, 2006.
DOI : 10.1111/1467-9876.00207

J. Guedj, R. Thiébaut, and D. Et-commenges, Maximum Likelihood Estimation in Dynamical Models of HIV, Biometrics, vol.55, issue.4, pp.1198-206, 2007.
DOI : 10.1111/j.1541-0420.2007.00812.x

URL : https://hal.archives-ouvertes.fr/inserm-00204269

J. Guedj, R. Thiébaut, and D. Et-commenges, Practical Identifiability of HIV Dynamics Models, Bulletin of Mathematical Biology, vol.48, issue.8, pp.2493-513, 2007.
DOI : 10.1007/s11538-007-9228-7

URL : https://hal.archives-ouvertes.fr/inserm-00204273