Published papers

1. Seurat J, Tang Y, Mentré F, Nguyen TT.
   Finding optimal design in nonlinear mixed effect models using multiplicative algorithms.
   Computer Methods and Programs in Biomedicine, 2021;207: 106-126.
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2. Seurat J, Nguyen TT, Mentré F.
   Robust designs accounting for model uncertainty in longitudinal studies with binary outcomes.
   Statistical Methods in Medical Research, 2020;29(3):934-952.
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3. Seurat J, Girard P, Goteti K, Mentré F.
   Comparison of various phase I combination therapy designs in oncology for evaluation of early tumor shrinkage using simulations.
   CPT Pharmacometrics and Systems Pharmacology, 2020, 9(12):686-694.
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4. Loingeville F, Nguyen TT, Riviere MK, Mentré F.
   Robust designs in longitudinal studies accounting for parameter and model uncertainties - application to count data.
   Journal of Biopharmaceutical Statistics, 2020, 30(1):31-45.
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5. Dumont C, Lestini G, Le Nagard H, Mentré F, Comets E, Nguyen TT.
   PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models.
   Computer Methods and Programs in Biomedicine, 2018, 156: 217-229.
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6. Nguyen THT, Nguyen TT, Mentré F.
   Individual Bayesian information matrix for predicting estimation error and shrinkage of individual parameters accounting for data below the limit of quantification: Bayesian information matrix accounting for data below LOQ.
   Pharmaceutical Research, 2017, 34(10):2119-2130.
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7. Riviere MK, Ueckert S, Mentré F.
   An MCMC method for the evaluation of the Fisher information matrix for non-linear mixed effect models.
   Biostatistics, 2016, 17(4): 737-50.
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8. Lestini G, Mentré F, Magni P.
   Optimal design for informative protocols in xenograft tumor growth inhibition experiments in mice.
   AAPS Journal, 2016, 18(5):1233-1243.
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9. Lestini G, Dumont C, Mentré F.
   Influence of the size of cohorts in adaptive design for nonlinear mixed effects models: an evaluation by simulation for a pharmacokinetic and pharmacodynamic model for a biomarker in oncology.
   Pharmaceutical Research, 2015, 32(10):3159-3169.
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10. Petit C, Jullien V, Samson A, Guedj J, Kiechel JR, Zohar S, Comets E.
    Designing a pediatric study for an Antimalarial Drug by Using Information from Adults.
    Antimicrobial Agents and Chemotherapy, 2015, 60(3):1481-91.
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11. Nyberg J, Bazzoli C, Ogungbenro K, Aliev A, Leonov S, Duffull S, Hooker AC, Mentré F.
    Methods and software tools for design evaluation for population pharmacokinetics-pharmacodynamics studies.
    British Journal of Clinical Pharmacology, 2015, 79(1):6-17.
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12. Dumont C, Chenel M, Mentré F.
    Influence of covariance between random effects in design for nonlinear mixed effect models with an illustration in paediatric pharmacokinetics.
    Journal of Biopharmaceutical Statistics, 2014, 24:3, 471-492.
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13. Nguyen TT, Mentré F.
    Evaluation of the Fisher information matrix in nonlinear mixed effect models using adaptive Gaussian quadrature.
    Computational Statistics & Data Analysis, 2014, 80:57–69.
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14. Combes FP, Retout S, Frey N, Mentré F.
    Power of the likelihood ratio test and of the correlation test using empirical Bayes estimates for various shrinkages in population pharmacokinetics.
    CPT: Pharmacometrics & Systems Pharmacology, 2014, 3: e109.
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15. Mentré F, Chenel M, Comets E, Grevel J, Hooker A, Karlsson MO, Lavielle M, Gueorguieva I.
    Current use and developments needed for optimal design in pharmacometrics: a study performed amongst DDMoRe's European Federation of Pharmaceutical Industries and Associations (EFPIA) members.
    CPT: Pharmacometrics & Systems Pharmacology, 2013, 2:e46.
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16. Dumont C, Mentré F, Gaynor C, Brendel K, Gesson C, Chenel M.
    Optimal sampling times for a drug and its metabolite using SIMCYP© simulations as prior information.
    Clinical Pharmacokinetics, 2013, 52:43-57.
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17. Combes FP, Retout S, Frey N, Mentré F.
    Prediction of shrinkage of individual parameters using the Bayesian information matrix in non-linear mixed effect models with evaluation in pharmacokinetics.
    Pharmaceutical Research, 2013, 30:2355-2367.
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18. Nguyen TT, Bazzoli C, Mentré F.
    Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models.
    Statistics in Medicine, 2012, 31: 1043-1058.
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19. Guedj J, Bazzoli C, Neuman A.U, Mentré F.
    Design evaluation and optimization for models of hepatitis C viral dynamics.
    Statistics in Medicine, 2011, 30:1045-1056.
    Link to abstract
20. Bazzoli C, Retout S, Mentré F.
    Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0.
    Computer Methods and Programs in Biomedicine, 2010, 98: 55-65.
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21. Retout, S., Comets, E., Bazzoli, C. et Mentré, F. Design Optimisation in nonlinear mixed effects models using cost functions:application to a joint model of infliximab and methotrexate pharmacokinetics.
    Communication in Statistics: Theory and Methods, 2009, 38 : 3351–3368.
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22. Bazzoli C, Retout S, Mentré F.
    Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model.
    Statistics in Medicine, 2009, 28 : 1940-1956.
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23. Retout S, Comets E, Samson A, Mentré F.
    Design in nonlinear mixed effects models: optimization using the Fedorov-Wynn algorithm and power of theWald test for binary covariates.
    Statistics in Medicine, 2007, 26 : 5162-79.
    Link to abstract
24. Retout S, Mentré F.
    Further developments of the Fisher information matrix in nonlinear mixed-effects models with evaluation in population pharmacokinetics.
    Journal of Biopharmaceutical Statistics, 2003, 13: 209-227.
    Link to abstract
25. Retout S, Mentré F.
    Optimisation of individual and population designs using Splus.
    Journal of Pharmacokinetic and Pharmacodynamics, 2003, 30: 417-443.
    Link to abstract
26. Duffull S, Retout S, Mentré F.
    The use of simulated annealing for finding optimal population designs.
    Computer Methods and Programs in Biomedicine, 2002, 69: 25-35.
    Link to abstract
27. Retout S, Mentré F, Bruno R.
    Fisher information matrix for nonlinear mixed-effects models: evaluation and application for optimal design of enoxaparin population pharmacokinetics.
    Statistics in Medicine, 2002, 21: 2623-2639.
    Link to abstract
28. Retout S, Duffull S, Mentré F.
    Development and implementation of the population Fisher information matrix for evaluation of population pharmacokinetic designs.
    Computer Methods and Programs in Biomedicine, 2001, 65: 141-151.
    Link to abstract
29. Mentré F, Dubruc C, Thénot JP.
    Population pharmacokinetic analysis of mizolastine solution in children with optimisation of the experimental design.
    Journal of Pharmacokinetics and Pharmacodynamics, 2001, 28: 299-319.
    Link to abstract
30. Duffull S, Mentré F, Aarons L.
    Optimal design of population pharmacodynamic experiment for ivabradine.
    Pharmaceutical Research, 2001, 18: 83-89.
    Link to abstract
31. Merlé Y, Mentré F.
    Optimal sampling times for Bayesian estimation of the pharmacokinetic parameters of nortriptyline during therapeutic drug monitoring.
    Journal of Pharmacokinetics and Biopharmaceutics, 1999, 27: 85-101.
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32. Tod M, Mentré F, Merlé Y, Mallet A.
    Robust optimal design for the estimation of hyperparameters in population pharmacokinetics.
    Journal of Pharmacokinetics and Biopharmaceutics, 1998, 26: 689-716.
    Link to abstract
33. Mentré F, Mallet A, Baccar D.
    Optimal design in random-effects regression models.
    Biometrika, 1997, 84: 429-442.
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34. Merlé Y, Mentré F.
    Stochastic optimization algorithms of a Bayesian design criterion for Bayesian parameter estimation in nonlinear regression models. Application in pharmacokinetics.
    Mathematical Biosciences, 1997, 144: 45-70.
    Link to abstract
35. Mentré F, Burtin P, Merlé Y, van Bree J, Mallet A, Steimer JL.
    Sparse-sampling optimal design in pharmacokinetics and toxicokinetics.
    Drug Information Journal, 1995, 19: 997-1019.
36. Merlé Y, Mentré F.
    Bayesian design criteria: computation, comparison and application to a pharmacokinetic and pharmacodynamic model.
    Journal of Pharmacokinetics and Biopharmaceutics, 1995, 23: 101-124.
    Link to abstract
37. Merlé Y, Mentré F, Mallet A, Aurengo A.
    Designing an optimal experiment for Bayesian estimation: application to the kinetic of iodine thyroid uptake.
    Statistics in Medicine, 1994, 13: 185-196.
    Link to abstract