BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 22204534)

  • 1. Optimal design of mixed-effects PK/PD models based on differential equations.
    Wang Y; Eskridge KM; Nadarajah S
    J Biopharm Stat; 2012; 22(1):180-205. PubMed ID: 22204534
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models.
    Nguyen TT; Bazzoli C; Mentré F
    Stat Med; 2012 May; 31(11-12):1043-58. PubMed ID: 21965170
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of robust criteria for D-optimal designs.
    Foo LK; McGree J; Eccleston J; Duffull S
    J Biopharm Stat; 2012; 22(6):1193-205. PubMed ID: 23075017
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Compound optimal design criteria for nonlinear models.
    McGree JM; Eccleston JA; Duffull SB
    J Biopharm Stat; 2008; 18(4):646-61. PubMed ID: 18607799
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A pragmatic approach to the design of population pharmacokinetic studies.
    Roy A; Ette EI
    AAPS J; 2005 Oct; 7(2):E408-20. PubMed ID: 16353920
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of two design optimality criteria applied to a nonlinear model.
    Bogacka B; Wright F
    J Biopharm Stat; 2004 Nov; 14(4):909-30. PubMed ID: 15587972
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust designs in longitudinal studies accounting for parameter and model uncertainties - application to count data.
    Loingeville F; Nguyen TT; Riviere MK; Mentré F
    J Biopharm Stat; 2020; 30(1):31-45. PubMed ID: 31032703
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies.
    Foo LK; McGree J; Duffull S
    Pharm Stat; 2012; 11(4):325-33. PubMed ID: 22411749
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Forcing function diagnostics for nonlinear dynamics.
    Hooker G
    Biometrics; 2009 Sep; 65(3):928-36. PubMed ID: 19210741
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Optimal experiment design for cardinal values estimation: guidelines for data collection.
    Bernaerts K; Gysemans KP; Nhan Minh T; Van Impe JF
    Int J Food Microbiol; 2005 Apr; 100(1-3):153-65. PubMed ID: 15854701
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Design of population pharmacokinetic experiments using prior information.
    Ogungbenro K; Aarons L
    Xenobiotica; 2007; 37(10-11):1311-30. PubMed ID: 17968747
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sample size calculations based on generalized estimating equations for population pharmacokinetic experiments.
    Ogungbenro K; Aarons L; Graham G
    J Biopharm Stat; 2006; 16(2):135-50. PubMed ID: 16584063
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs.
    Retout S; Duffull S; Mentré F
    Comput Methods Programs Biomed; 2001 May; 65(2):141-51. PubMed ID: 11275334
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Population pharmacokinetic analysis and optimization of the experimental design for mizolastine solution in children.
    Mentré F; Dubruc C; Thénot JP
    J Pharmacokinet Pharmacodyn; 2001 Jun; 28(3):299-319. PubMed ID: 11468942
    [TBL] [Abstract][Full Text] [Related]  

  • 19. D-optimal cohort designs for linear mixed-effects models.
    Tekle FB; Tan FE; Berger MP
    Stat Med; 2008 Jun; 27(14):2586-600. PubMed ID: 17726724
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incorporating correlation in interindividual variability for the optimal design of multiresponse pharmacokinetic experiments.
    Ogungbenro K; Graham G; Gueorguieva I; Aarons L
    J Biopharm Stat; 2008; 18(2):342-58. PubMed ID: 18327725
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.