470 related articles for article (PubMed ID: 19266541)
1. Fisher information matrix for nonlinear mixed effects multiple response models: evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model.
Bazzoli C; Retout S; Mentré F
Stat Med; 2009 Jun; 28(14):1940-56. PubMed ID: 19266541
[TBL] [Abstract][Full Text] [Related]
2. Design evaluation and optimisation in multiple response nonlinear mixed effect models: PFIM 3.0.
Bazzoli C; Retout S; Mentré F
Comput Methods Programs Biomed; 2010 Apr; 98(1):55-65. PubMed ID: 19892427
[TBL] [Abstract][Full Text] [Related]
3. 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
Stat Med; 2007 Dec; 26(28):5162-79. PubMed ID: 17486667
[TBL] [Abstract][Full Text] [Related]
4. The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
Samson A; Lavielle M; Mentré F
Stat Med; 2007 Nov; 26(27):4860-75. PubMed ID: 17562540
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of the nonparametric estimation method in NONMEM VI.
Savic RM; Kjellsson MC; Karlsson MO
Eur J Pharm Sci; 2009 Apr; 37(1):27-35. PubMed ID: 19159684
[TBL] [Abstract][Full Text] [Related]
6. Estimation of population pharmacokinetic parameters of saquinavir in HIV patients with the MONOLIX software.
Lavielle M; Mentré F
J Pharmacokinet Pharmacodyn; 2007 Apr; 34(2):229-49. PubMed ID: 17211713
[TBL] [Abstract][Full Text] [Related]
7. Fisher information matrix for non-linear mixed-effects models: evaluation and application for optimal design of enoxaparin population pharmacokinetics.
Retout S; Mentré F; Bruno R
Stat Med; 2002 Sep; 21(18):2623-39. PubMed ID: 12228881
[TBL] [Abstract][Full Text] [Related]
8. REML estimation of variance parameters in nonlinear mixed effects models using the SAEM algorithm.
Meza C; Jaffrézic F; Foulley JL
Biom J; 2007 Dec; 49(6):876-88. PubMed ID: 17638294
[TBL] [Abstract][Full Text] [Related]
9. An implementation of the Expectation-Maximisation (EM) algorithm for population pharmacokinetic-pharmacodynamic modelling in ACSLXTREME.
Yates JW
Comput Methods Programs Biomed; 2009 Oct; 96(1):49-62. PubMed ID: 19410328
[TBL] [Abstract][Full Text] [Related]
10. The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokinetic-pharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects.
Chan PL; Jacqmin P; Lavielle M; McFadyen L; Weatherley B
J Pharmacokinet Pharmacodyn; 2011 Feb; 38(1):41-61. PubMed ID: 21088872
[TBL] [Abstract][Full Text] [Related]
11. PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models.
Dumont C; Lestini G; Le Nagard H; Mentré F; Comets E; Nguyen TT;
Comput Methods Programs Biomed; 2018 Mar; 156():217-229. PubMed ID: 29428073
[TBL] [Abstract][Full Text] [Related]
12. Performance of different population pharmacokinetic algorithms.
Colucci P; Grenier J; Yue CS; Turgeon J; Ducharme MP
Ther Drug Monit; 2011 Oct; 33(5):583-91. PubMed ID: 21912327
[TBL] [Abstract][Full Text] [Related]
13. Hyperparameter estimation using stochastic approximation with application to population pharmacokinetics.
Mentré F; Mallet A; Steimer JL
Biometrics; 1988 Sep; 44(3):673-83. PubMed ID: 3203126
[TBL] [Abstract][Full Text] [Related]
14. Influence of covariance between random effects in design for nonlinear mixed-effect models with an illustration in pediatric pharmacokinetics.
Dumont C; Chenel M; Mentré F
J Biopharm Stat; 2014; 24(3):471-92. PubMed ID: 24697342
[TBL] [Abstract][Full Text] [Related]
15. Prediction discrepancies for the evaluation of nonlinear mixed-effects models.
Mentré F; Escolano S
J Pharmacokinet Pharmacodyn; 2006 Jun; 33(3):345-67. PubMed ID: 16284919
[TBL] [Abstract][Full Text] [Related]
16. Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: the npde add-on package for R.
Comets E; Brendel K; Mentré F
Comput Methods Programs Biomed; 2008 May; 90(2):154-66. PubMed ID: 18215437
[TBL] [Abstract][Full Text] [Related]
17. The bayesian bias correction method of the first-order approximation of nonlinear mixed-effects models for population pharmacokinetics.
Funatogawa T; Funatogawa I
J Biopharm Stat; 2007; 17(3):381-92. PubMed ID: 17479388
[TBL] [Abstract][Full Text] [Related]
18. Further developments of the Fisher information matrix in nonlinear mixed effects models with evaluation in population pharmacokinetics.
Retout S; Mentré F
J Biopharm Stat; 2003 May; 13(2):209-27. PubMed ID: 12729390
[TBL] [Abstract][Full Text] [Related]
19. Model-based analyses of bioequivalence crossover trials using the stochastic approximation expectation maximisation algorithm.
Dubois A; Lavielle M; Gsteiger S; Pigeolet E; Mentré F
Stat Med; 2011 Sep; 30(21):2582-600. PubMed ID: 21793036
[TBL] [Abstract][Full Text] [Related]
20. Comparing the performance of first-order conditional estimation (FOCE) and different expectation-maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model.
Bach T; An G
J Pharmacokinet Pharmacodyn; 2021 Aug; 48(4):581-595. PubMed ID: 33884580
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
