Publications

Papers

  • Lavielle M, Samson A, Fermin AK, Mentre F. Maximum likelihood estimation of long term HIV dynamic models and antiviral response, Biometrics, to appear.
  • Bastogne T, Samson A, Vallois P, Wantz-Mézières S, Pinel S, Bechet D, Barberi-Heyob M, Phenomenological modeling of tumor diameter growth based on a mixed effects model. Journal of Theoretical Biology, to appear. Prépublication MAP5 2009-12
  • Favetto B, Samson A, Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application. Scandinavian Journal of Statistics, to appear. Prépublication MAP5 2008-13 (pdf)
  • Donnet S, Foulley JL, Samson A, Bayesian analysis of growth curves using mixed models defined by stochastic differential equations.  Biometrics, to appear. Prépublication MAP5 2009-03(pdf)
  • Richard F, Samson A, Cuenod CA, A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences, Statistics and Computing, 19:465-478, 2009.(pdf)
  • Panhard X, Samson A, Extension of the SAEM algorithm for the nonlinear mixed models with two levels of random effects, Biostatistics,  10:121-35, 2009(pdf)
  • Donnet S, Samson A, Parametric inference for mixed models defined by stochastic differential equations, ESAIM P&S, 12:196-218, 2008.(pdf)
  • Baron G, Ravaud P, Samson A, Giraudeau B. Missing data in randomized controlled trials of rheumatoid arthritis with radiographic outcomes: a simulation study, Arthritis Care & Research, 59(1):25-31, 2008.
  • Donnet S, Samson A, Discussion on “Parameter estimation for differential equations: a generalized smoothing approach” (by Ramsay JO, Hooker G, Campbell D and Cao J), Journal of the Royal Statistical Society: Series B, 69(5):741-796, 2007.
  • Retout S, Comets E, Samson A, Mentré F, Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates, Statistics in Medicine, 26(28):5162-5179, 2007.
  • Samson A, Lavielle M, Mentré F, The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model. Statistics in Medicine, 26(27):4860-4875, 2007. (pdf).
  • Donnet S, Samson A, Estimation of parameters in incomplete data models defined by dynamical systems. Journal of Statistical Planning and Inference, 137(9):2815-31, 2007. (pdf).
  • Samson A, Lavielle M, Mentré F, 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, 51(3):1562-74, 2006. (pdf).

Submitted papers

  • Favetto B, Samson A,  Balvay D, Thomassin I,  Genon-Catalot V,  Cuenod CA, Rozenholc Y, Blood micro-circulation parameters extraction from Dynamic Contrast Enhanced MRI data using stochastic differential equations, submitted.
  • Ditlevsen S, Samson A. Introduction to stochastic models in biology, submitted.

Papers in proceedings

  • Bastogne T, Samson A, Mézières-Wantz S, Vallois P, Pinel S, Barberi-Heyob M, System identification of tumor growth described by a mixed effects model, Proceedings of IFAC Symposium on system identification, 2009.
  • Richard F, Samson A, Metropolis-Hasting techniques for finite element-based registration, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
  • Samson A, Lavielle M, Mentré F, The SAEM algorithm for non-linear mixed models with left-censored data and differential systems: application to the joint modeling of HIV viral load and CD4 dynamics under treatment, Proceedings of 15th Meeting of the Population Approach Group in Europe, 2006.

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Copyright © Adeline Samson 2007