Published papers - Methodology saemix and SAEM

1. Karimi B, Lavielle M, Moulines E.
   f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models.
   Computational Statistics & Data Analysis. 2020, 141:123-38.
   Link to PDF of paper
2. Delattre M, Lavielle M, Poursat MA.
   A note on BIC in mixed-effects models.
   Electronic Journal of Statistics, 2014, 8:456-75.
   Link to abstract
3. Comets E, Lavenu L, Lavielle M.
   Parameter estimation in nonlinear mixed effect models using saemix, an R implementation of the SAEM algorithm.
   Journal of Statistical Software, 2017, 80:1-41.
   Link to paper
4. Savic RM, Mentré F, Lavielle M.
   Implementation and Evaluation of the SAEM Algorithm for Longitudinal Ordered Categorical Data with an Illustration in Pharmacokinetics–Pharmacodynamics.
   The AAPS Journal, 2011, 13:44–53.
   Link to abstract
5. Savic R, Lavielle M.
   Performance in population models for count data, part II: A new SAEM algorithm.
   Journal of Pharmacokinetics and Pharmacodynamics, 2009 36:367–379.
   Link to abstract
6. Kuhn E, Lavielle M.
   Coupling a stochastic approximation version of EM with an MCMC procedure.
   ESAIM: Probability and Statistics. 2004, 8:115–31.
   Link to abstract
7. Delyon B, Lavielle M, Moulines E.
   Convergence of a Stochastic Approximation Version of the EM Algorithm.
   The Annals of Statistics, 1999, 27:94–128.
   Link to abstract

Published papers - Methodology, other

1. Ranke J, Wöltjen J, Schmidt J, Comets E.
   Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models.
   Environments, 2021, 8: 71.
   Link to abstract
2. Boedeker P.
   Nonlinear Mixed-Effects Growth Models: A Tutorial Using ’saemix’ in R.
   Methodology, 2021, 17:250-270.
   Link to paper
3. Comets E, Mentré F.
   Developing tools to evaluate non-linear mixed effect models : 20 years on the npde adventure.
   AAPS Journal, 2021, 23: 75.
   Link to PDF of paper
4. Comets E, Brendel K, Mentré F.
   Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: the npde add-on package for R.
   Computer Methods and Programs in Biomedicine, 2008, 90: 154-66.
   Link to paper
5. Nguyen T, Mouksassi MS, Holford N, Al-Huniti N, Freedman I, Hooker AC, John J, Karlsson MO, Mould DR, Pérez Ruixo JJ, Plan EL, Savic R, van Hasselt J, Weber B, Zhou C, Comets E, Mentré F, Model Evaluation Group of the International Society of Pharmacometrics (ISoP) Best Practice Committee.
   Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics.
   CPT Pharmacometrics and Systems Pharmacology, 2017, 6:87-109.
   Link to PDF paper

Published papers - Applications

1. Vagnoni DB, Davidson M, Rubio L, Oetzel GR, Comets E.
   Prepartum dietary acidogenic salts and postpartum oral calcium supplemental for dairy cows.
   Animals, 2021 ; 11 : 3131.
   Link to abstract
2. Paioni P, Jäggi VF, Tilen R, Seiler M, Baumann P, Bräm DS, Jetzer C, Haid RTU, Goetschi AN, Goers R, Müller D, Coman Schmid D, Meyer zu Schwabedissen HE, Rinn B, Berger C, Krämer SD.
   Gentamicin Population Pharmacokinetics in Pediatric Patients—A Prospective Study with Data Analysis Using the saemix Package in R.
   Pharmaceutics. 2021; 13(10):1596.
   Link to PDF paper
3. Costet N, Pelé F, Comets E, Rouget F, Monfort C, Bodeau-Livinec F, Linganiza EM, Bataille H, Kadhel P, Multigner L, Cordier S.
   Perinatal exposure to chlordecone and infant growth.
   Environmental Research, 2015, 142: 123-34.
   Link to abstract