Publications

Publications

  1. Individual predictions based on population nonlinear mixed modeling: application to prenatal twin growth. Stirnemann J, Samson A, Thalabard JC, Statistics in Medicine, to appear.
  2. Parameter estimation and change-point detection from Dynamic Contrast Enhanced MRI data using stochastic differential equations. Cuenod CA, Favetto B, Genon-Catalot V,  Rozenholc Y, Samson A,  Mathematical Biosciences, 233(1):1-76, 2011.
  3. Maximum likelihood estimation of long term HIV dynamic models and antiviral response. Lavielle M, Samson A, Fermin AK, Mentre F, Biometrics, 67(1):250–259, 2011
  4. Bayesian analysis of growth curves using mixed models defined by stochastic differential equations. Donnet S, Foulley JL, Samson A,  Biometrics, 66(3):733–741, 2010
  5. Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application. Favetto B, Samson A, Scandinavian Journal of Statistics, 37(2):200-220, 2010
  6. Phenomenological modeling of tumor diameter growth based on a mixed effects model. Bastogne T, Samson A, Vallois P, Wantz-Mézières S, Pinel S, Bechet D, Barberi-Heyob M, Journal of Theoretical Biology, 262:544-552, 2010.
  7. A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences. Richard F, Samson A, Cuenod CA, Statistics and Computing, 19:465-478, 2009.
  8. Extension of the SAEM algorithm for the nonlinear mixed models with two levels of random effects. Panhard X, Samson A, Biostatistics,  10:121-35, 2009
  9. Parametric inference for mixed models defined by stochastic differential equations. Donnet S, Samson A, ESAIM P&S, 12:196-218, 2008.
  10. Missing data in randomized controlled trials of rheumatoid arthritis with radiographic outcomes: a simulation study. Baron G, Ravaud P, Samson A, Giraudeau B, Arthritis Care & Research, 59(1):25-31, 2008.
  11. Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of the Wald test for binary covariates. Retout S, Comets E, Samson A, Mentré F, Statistics in Medicine, 26(28):5162-5179, 2007.
  12. Estimation of parameters in incomplete data models defined by dynamical systems. Donnet S, Samson A, Journal of Statistical Planning and Inference, 137(9):2815-31, 2007.
  13. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model. Samson A, Lavielle M, Mentré F, Statistics in Medicine, 26(27):4860-4875, 2007.
  14. Extension of the SAEM algorithm to left-censored data in non-linear mixed-effects model: application to HIV dynamics model. Samson A, Lavielle M, Mentré F, Computational Statistics and Data Analysis, 51(3):1562-74, 2006.

Lecture Notes

  1.  Introduction to stochastic models in biology.   Ditlevsen S, Samson A.  In Bachar, Batzel and Ditlevsen (Eds.), Stochastic Biomathematical Models with Applications to the Insulin-Glucose System and Neuronal Modeling. Springer. To appear

Prépublications

  1. Nonparametric estimation of random effects densities in linear mixed-effects model. Comte F, Samson A, soumis. Prepublication MAP5 2012-01
  2. Maximum likelihood estimation for stochastic differential equations with random effects. Delattre M, Genon-Catalot V, Samson A, soumis. Prepublication MAP5 2011-31
  3. Contrast estimator for  completely or partially observed hypoelliptic diffusion. Samson A, Thieullen M, soumis. Prepublication MAP5 2011-20
  4. Estimation in autoregressive model with measurement error. Dedecker J, Samson A, Taupin ML, soumis. Prepublication MAP5 2011-18
  5. Deconvolution estimation of onset of pregnancy with replicate observations. Comte F, Samson A, Stirnemann J, soumis. Prepublication MAP5 2011-15
  6. EM algorithm coupled with particle filter for maximum likelihood parameter estimation of stochastic differential mixed-effects models . Donnet S, Samson A, soumis. Prepublication MAP5 2010-24
  7. Density estimation of a biomedical variable subject to measurement error using an auxiliary set of replicate observations. Stirnemann J, Comte F, Samson A. soumis.

Discussion of paper

  1. Discussion on “Parameter estimation for differential equations: a generalized smoothing approach” (by Ramsay JO, Hooker G, Campbell D and Cao J), Donnet S, Samson A, Journal of the Royal Statistical Society: Series B, 69(5):741-796, 2007

Publications dans des actes de conférences avec comité de lecture

  1. System identification of tumor growth described by a mixed effects model. Bastogne T, Samson A, Mézières-Wantz S, Vallois P, Pinel S, Barberi-Heyob M, Proceedings of IFAC Symposium on system identification, 2009.
  2. Metropolis-Hasting techniques for finite element-based registration . Richard F, Samson A, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

Copyright © Adeline Samson 2007