L. Sheiner, B. Rosenberg, and V. Marathe, Estimation of population characteristics of pharmacokinetic parameters from routine clinical data, Journal of Pharmacokinetics and Biopharmaceutics, vol.15, issue.5, pp.445-479, 1977.
DOI : 10.1007/BF01061728

B. Efron, Bootstrap Methods: Another Look at the Jackknife, The Annals of Statistics, vol.7, issue.1, pp.1-26, 1979.
DOI : 10.1214/aos/1176344552

B. Efron and R. Tibshirani, An Introduction to the Bootstrap Chapman & Hall, 1994.

J. Shao and D. Tu, The Jacknife and Bootstrap Springer, 1995.

A. Davison and D. Hinkley, Bootstrap Methods and their Application, 1997.
DOI : 10.1017/CBO9780511802843

J. Mackinnon, Bootstrap Methods in Econometrics*, Economic Record, vol.14, issue.s1, pp.2-18, 2006.
DOI : 10.1214/ss/1063994977

R. Wehrens, H. Putter, and L. Buydens, The bootstrap: a tutorial, Chemometrics and Intelligent Laboratory Systems, vol.54, issue.1, pp.35-52, 2000.
DOI : 10.1016/S0169-7439(00)00102-7

S. Das and A. Krishen, Some bootstrap methods in nonlinear mixed-effect models, Journal of Statistical Planning and Inference, vol.75, issue.2, pp.237-245, 1999.
DOI : 10.1016/S0378-3758(98)00145-1

R. Halimi, Nonlinear Mixed-effects Models and Bootstrap resampling: Analysis of Non-normal Repeated Measures in Biostatistical Practice VDM Verlag, 2005.

R. Van-der-leeden, F. Busing, and E. Meijer, Bootstrap methods for two-level models, 1997.

H. Wu and J. Zhang, The study of long-term HIV dynamics using semi-parametric non-linear mixed-effects models, Statistics in Medicine, vol.17, issue.23, pp.3655-3675, 2002.
DOI : 10.1002/sim.1317

H. Thai, F. Mentre, N. Holford, and C. Veyrat-follet, Comets E (2013) A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models, Pharm Stat

J. Parke, N. Holford, and B. Charles, A procedure for generating bootstrap samples for the validation of nonlinear mixed-effects population models, Computer Methods and Programs in Biomedicine, vol.59, issue.1, pp.19-29, 1999.
DOI : 10.1016/S0169-2607(98)00098-4

L. Lindbom, P. Pihlgren, and E. Jonsson, PsN-Toolkit???A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM, Computer Methods and Programs in Biomedicine, vol.79, issue.3, pp.241-257, 2005.
DOI : 10.1016/j.cmpb.2005.04.005

S. Beal and L. Sheiner, NONMEM User's Guide-Part i. User Basic Guide, 1989.

E. Vonesh and V. Chinchilli, Linear and Nonlinear Models for the Analysis of Repeated Measurements Marcel Dekker, 1997.

Z. Ge, P. Bickel, and J. Rice, 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

B. Delyon, M. Lavielle, and E. Moulines, Convergence of a stochastic approximation version of the em algo, Annal Stat, vol.27, pp.94-128, 1999.

J. Carpenter and J. Bithell, Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians, Statistics in Medicine, vol.35, issue.9, pp.1141-1164, 2000.
DOI : 10.1002/(SICI)1097-0258(20000515)19:9<1141::AID-SIM479>3.0.CO;2-F

J. Carpenter, H. Goldstein, and J. Rasbash, A novel bootstrap procedure for assessing the relationship between class size and achievement, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.9, issue.4, pp.431-443, 2003.
DOI : 10.1111/1467-9876.00415

J. Wang, J. Carpenter, and M. Kepler, Using SAS to conduct nonparametric residual bootstrap multilevel modeling with a small number of groups, Computer Methods and Programs in Biomedicine, vol.82, issue.2, pp.130-143, 2006.
DOI : 10.1016/j.cmpb.2006.02.006

D. Kalman, A Singularly Valuable Decomposition: The SVD of a Matrix, The College Mathematics Journal, vol.27, issue.1, pp.1-23, 1996.
DOI : 10.2307/2687269

G. Freyer, N. Isambert, B. You, S. Zanetta, C. Falandry et al., Phase I dose-escalation study of aflibercept in combination with docetaxel and cisplatin in patients with advanced solid tumours, British Journal of Cancer, vol.10, issue.4, pp.598-603, 2012.
DOI : 10.1158/1078-0432.CCR-06-2553

R. Ramlau, V. Gorbunova, T. Ciuleanu, S. Novello, M. Ozguroglu et al., Aflibercept and Docetaxel Versus Docetaxel Alone After Platinum Failure in Patients With Advanced or Metastatic Non???Small-Cell Lung Cancer: A Randomized, Controlled Phase III Trial, Journal of Clinical Oncology, vol.30, issue.29, pp.3640-3647, 2012.
DOI : 10.1200/JCO.2012.42.6932

S. Retout, S. Duffull, and F. 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

E. Ette and L. Onyiah, Estimating inestimable standard errors in population pharmacokinetic studies: The bootstrap with winsorization, European Journal of Drug Metabolism and Pharmacokinetics, vol.41, issue.1, pp.213-237, 2002.
DOI : 10.1007/BF03190460