Nombre de documents

41


Article dans une revue31 documents

  • Marc Lavielle, Leon Aarons. What do we mean by identiability in mixed effects models?. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2016. <hal-01365535>
  • Marc Lavielle, Benjamin Ribba. Enhanced Method for Diagnosing Pharmacometric Models: Random Sampling from Conditional Distributions. Pharmaceutical Research / Pharmaceutical Research (Dordrecht), 2016, <10.1007/s11095-016-2020-3>. <hal-01365532>
  • P Mazzocco, Célia Barthélémy, G Kaloshi, Marc Lavielle, D Ricard, et al.. Prediction of Response to Temozolomide in Low-Grade Glioma Patients Based on Tumor Size Dynamics and Genetic Characteristics. CPT Pharmacometrics Syst Pharmacol, 2015, 4 (12), pp.728-737 <10.1002/psp4.54>. <hal-01252076>
  • Kostas Biliouris, Marc Lavielle, Mirjam Trame. MatVPC: A User-Friendly MATLAB-Based Tool for the Simulation and Evaluation of Systems Pharmacology Models. CPT Pharmacometrics Syst Pharmacol, 2015, <10.1002/psp4.12011>. <hal-01252020>
  • Christian Jeleazcov, Marc Lavielle, Jürgen Schüttler, Harald Ihmsen. Pharmacodynamic response modelling of arterial blood pressure in adult volunteers during propofol anaesthesia. British Journal of Anaesthesia, Oxford University Press (OUP), 2015, <10.1093/bja/aeu553>. <hal-01252009>
  • Maud Delattre, Marc Lavielle, Marie-Anne Poursat. A note on BIC in mixed-effects models. Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2014, 8, pp.456--475. <10.1214/14-EJS890>. <hal-00991708>
  • Marc Lavielle, Cyprien Mbogning. An improved SAEM algorithm for maximum likelihood estimation in mixtures of non linear mixed effects models. Statistics and Computing, Springer Verlag (Germany), 2014, 24 (5), pp.693--707. <10.1007/s11222-013-9396-2>. <hal-00916817>
  • France Mentré, Marylore Chenel, Emmanuelle Comets, Joachim Grevel, Andrew Hooker, et al.. Current Use and Developments Needed for Optimal Design in Pharmacometrics: A Study Performed Among DDMoRe's European Federation of Pharmaceutical Industries and Associations Members. CPT Pharmacometrics Syst Pharmacol, 2013, 2, pp.e46. <10.1038/psp.2013.19>. <hal-01122163>
  • Maud Delattre, Marc Lavielle. Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models. statistics and its interface, 2013, 6 (4), pp.519--532. <hal-00916803>
  • Marie-Cécile Faure, Jean-Claude Sulpice, Maud Delattre, Marc Lavielle, Magali Prigent, et al.. The recruitment of p47phox and Rac2G12V at the phagosome is transient and phosphatidylserine-dependent. Biology of the Cell, Wiley, 2013, 105, pp.1--18. <hal-00916837>
  • Marc Lavielle. Rôle et limites de la statistique dans l'évaluation des risques sanitaires liés aux OGM. Statistique et Société, Société française de statistique, 2013, 1 (1), pp.mai 2013. <hal-00916844>
  • Maud Delattre, Marc Lavielle. Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm. Computational Statistics & Data Analysis, Elsevier, 2012, 56 (6), pp.2073-2085. <http://dx.doi.org/10.1016/j.csda.2011.12.017>. <10.1016/j.csda.2011.12.017>. <hal-00756599>
  • Joachim Grevel, Marc Lavielle. A safe bet?. European Biopharmaceutical Review, SAMEDAN LTD, 2012. <hal-00756608>
  • Cyprien Mbogning, Kevin Bleakley, Marc Lavielle. Between-subject and within-subject model mixtures for classifying HIV treatment response. Progress in Applied Mathematics, CSCanada, 2012, 4 (2), pp.148-166. <hal-00756615>
  • Maud Delattre, Radojka Savic, Raymond Miller, Mats Karlsson, Marc Lavielle. Analysis of exposure-response of CI-945 in patients with epilepsy: application of novel Mixed Hidden Markov Modelling Methodology. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2012, 39 (3), pp.263-271. <hal-00756603>
  • Merlin Keller, Marc Lavielle. Random threshold for linear model selection, revisited. Statistics and its interfaces, International Press, 2012, 5 (2), pp.263-275. <hal-00756592>
  • Marc Lavielle, Kevin Bleakley. Automatic data binning for improved visual diagnosis of pharmacometric models. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2011, 38 (6), pp.861-871. <10.1007/s10928-011-9223-3>. <hal-00654842>
  • Marc Lavielle, Adeline Samson, Ana Karina Fermin, France Mentré. Maximum likelihood estimation of long-term HIV dynamic models and antiviral response. Biometrics, Wiley, 2011, 67 (1), pp.250-9. <10.1111/j.1541-0420.2010.01422.x>. <inserm-00486937>
  • Rada Savic, France Mentré, Marc Lavielle. Implementation and Evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics. The AAPS Journal, 2011, 13 (1), pp.44-53. <10.1208/s12248-010-9238-5>. <hal-00637400>
  • Anne Dubois, Marc Lavielle, Sandro Gsteiger, Etienne Pigeolet, France Mentré. Model-based analyses of bioequivalence crossover trials using the stochastic approximation expectation maximisation algorithm.. Statistics in Medicine, Wiley-Blackwell, 2011, 30 (21), pp.2582-600. <10.1002/sim.4286>. <inserm-00643832>
  • Phylinda Chan, Philippe Jacqmin, Marc Lavielle, Lynn Mcfadyen, Barry Weatherley. The Use of the SAEM Algorithm in MONOLIX Software for Estimation of Population Pharmacokinetic-Pharmacodynamic-Viral Dynamics Parameters of Maraviroc in Asymptomatic HIV Subjects. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2010, 38 (1), pp.41-61. <10.1007/s10928-010-9175-z>. <hal-00637403>
  • Eric Snoeck, Pascal Chanu, Marc Lavielle, Philippe Jacqmin, Niclas Jonsson, et al.. A Comprehensive Hepatitis C Viral Kinetic Model Explaining Cure. Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, 2010, 87 (6), pp.706-713. <hal-00637434>
  • Radojka Savic, Marc Lavielle. Performance in population models for count data, part II: a new SAEM algorithm.. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2009, 36 (4), pp.367-79. <10.1007/s10928-009-9127-7>. <inserm-00470358>
  • Marc Lavielle, France Mentré. Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software.. Journal of Pharmacokinetics and Pharmacodynamics, Springer Verlag, 2007, 34 (2), pp.229-49. <10.1007/s10928-006-9043-z>. <inserm-00156907>
  • Emmanuelle Comets, Céline Verstuyft, Marc Lavielle, Patrice Jaillon, Laurent Becquemont, et al.. Modelling the influence of MDR1 polymorphism on digoxin pharmacokinetic parameters.. European Journal of Clinical Pharmacology, Springer Verlag, 2007, 63 (5), pp.437-49. <10.1007/s00228-007-0269-5>. <inserm-00146888>
  • Adeline Samson, Marc Lavielle, France Mentré. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model. Statistics in Medicine, Wiley-Blackwell, 2007, 26, pp.4860-4875. <hal-00263511>
  • Adeline Samson, Marc Lavielle, France Mentré. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.. Statistics in Medicine, Wiley-Blackwell, 2007, 26 (27), pp.4860-75. <10.1002/sim.2950>. <inserm-00169790>
  • Adeline Samson, Marc Lavielle, France Mentré. Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model. Computational Statistics & Data Analysis, Elsevier, 2006, 51 (3), pp.1562-1574. <10.1016/j.csda.2006.05.007>. <inserm-00182360>
  • Adeline Samson, Marc Lavielle, France Mentré. Extension of the SAEM algorithm to left-censored data in non-linear mixed-effects model: application to HIV dynamics model. Computational Statistics and Data Analysis, Elsevier, 2006, 51, pp.1562-1574. <hal-00263506>
  • Sophie Donnet, Marc Lavielle, Jean-Baptiste Poline. Are fMRI event-related response constant in time? A model selection answer. NeuroImage, Elsevier, 2006, 31, pp.1169 - 1176. <hal-00415832>
  • Florence Jaffrézic, Cristian Meza, Marc Lavielle, Jean-Louis Foulley. Genetic analysis of growth curves using the SAEM algorithm. Genetics Selection Evolution, BioMed Central, 2006, 38 (6), pp.583-600. <hal-00894568>

Communication dans un congrès1 document

  • Marc Lavielle, France Mentré. Estimation et planification dans les modèles non linéaires à effets mixtes. Application à la dynamique du VIH sous traitement.. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009. <inria-00386791>

Ouvrage (y compris édition critique et traduction)1 document

Pré-publication, Document de travail2 documents

  • Marc Lavielle, Leon Aarons. What do we mean by identifiability in mixed effects models?. 2016. <hal-01251986>
  • Kevin Bleakley, Marc Lavielle. Effective strategies for segmenting data into coherent subsets. 2011. <hal-00642621>

Rapport6 documents

  • Raphaël Kuate, Marc Lavielle, Eric Blaudez, Kaelig Chatel, Jean-François Si Abdallah. A finite element solver for PDEs in MONOLIX. [Research Report] RR-8717, INRIA. 2015. <hal-01144679v2>
  • Raphaël Kuate, Marc Lavielle, Eric Blaudez, Kaelig Chatel, Jerome Marquet, et al.. A delay differential equation solver for MONOLIX & MLXPLORE. [Research Report] RR-8489, INRIA. 2014, pp.19. <hal-00952874>
  • Maud Delattre, Marc Lavielle, Marie-Anne Poursat. BIC selection procedures in mixed effects models. [Research Report] RR-7948, INRIA. 2012. <hal-00696435>
  • Marc Lavielle, Carenne Ludeña. Random thresholds for linear model selection. RR-5572, INRIA. 2005, pp.23. <inria-00070434>
  • Marc Lavielle. Using penalized contrasts for the change-point problem. RR-5339, INRIA. 2004, pp.18. <inria-00070662>
  • Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Gilles Celeux, et al.. A statistical approach for CGH microarray data analysis. [Research Report] RR-5139, INRIA. 2004. <inria-00071444>