BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 21229340)

  • 1. Performance of three estimation methods in repeated time-to-event modeling.
    Karlsson KE; Plan EL; Karlsson MO
    AAPS J; 2011 Mar; 13(1):83-91. PubMed ID: 21229340
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of FOCEI and SAEM Estimation Methods in Population Pharmacokinetic Analysis Using NONMEM
    Sukarnjanaset W; Wattanavijitkul T; Jarurattanasirikul S
    Eur J Drug Metab Pharmacokinet; 2018 Dec; 43(6):729-736. PubMed ID: 29785609
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of Nonmem 7.2 estimation methods and parallel processing efficiency on a target-mediated drug disposition model.
    Gibiansky L; Gibiansky E; Bauer R
    J Pharmacokinet Pharmacodyn; 2012 Feb; 39(1):17-35. PubMed ID: 22101761
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Implementation and evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamics.
    Savic RM; Mentré F; Lavielle M
    AAPS J; 2011 Mar; 13(1):44-53. PubMed ID: 21063925
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of estimation methods and power of tests of discrete covariates in repeated time-to-event parametric models: application to Gaucher patients treated by imiglucerase.
    Vigan M; Stirnemann J; Mentré F
    AAPS J; 2014 May; 16(3):415-23. PubMed ID: 24570340
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Performance of the SAEM and FOCEI Algorithms in the Open-Source, Nonlinear Mixed Effect Modeling Tool nlmixr.
    Schoemaker R; Fidler M; Laveille C; Wilkins JJ; Hooijmaijers R; Post TM; Trame MN; Xiong Y; Wang W
    CPT Pharmacometrics Syst Pharmacol; 2019 Dec; 8(12):923-930. PubMed ID: 31654482
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance in population models for count data, part II: a new SAEM algorithm.
    Savic R; Lavielle M
    J Pharmacokinet Pharmacodyn; 2009 Aug; 36(4):367-79. PubMed ID: 19680795
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of bias, precision, robustness and runtime for estimation methods in NONMEM 7.
    Johansson ÅM; Ueckert S; Plan EL; Hooker AC; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2014 Jun; 41(3):223-38. PubMed ID: 24801864
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response models.
    Plan EL; Maloney A; Mentré F; Karlsson MO; Bertrand J
    AAPS J; 2012 Sep; 14(3):420-32. PubMed ID: 22528503
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects.
    Pradhan S; Song B; Lee J; Chae JW; Kim KI; Back HM; Han N; Kwon KI; Yun HY
    BMC Med Res Methodol; 2017 Dec; 17(1):154. PubMed ID: 29191177
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Performance of nonlinear mixed effects models in the presence of informative dropout.
    Björnsson MA; Friberg LE; Simonsson US
    AAPS J; 2015 Jan; 17(1):245-55. PubMed ID: 25421458
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Two bootstrapping routines for obtaining imprecision estimates for nonparametric parameter distributions in nonlinear mixed effects models.
    Baverel PG; Savic RM; Karlsson MO
    J Pharmacokinet Pharmacodyn; 2011 Feb; 38(1):63-82. PubMed ID: 21076858
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods.
    Largajolli A; Bertoldo A; Cobelli C
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():5482-5. PubMed ID: 23367170
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The back-step method--method for obtaining unbiased population parameter estimates for ordered categorical data.
    Kjellsson MC; Jönsson S; Karlsson MO
    AAPS J; 2004 Aug; 6(3):e19. PubMed ID: 15760104
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparing the performance of FOCE and different expectation-maximization methods in handling complex population physiologically-based pharmacokinetic models.
    Liu X; Wang Y
    J Pharmacokinet Pharmacodyn; 2016 Aug; 43(4):359-70. PubMed ID: 27215925
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mixed model estimation methods for the Rasch model.
    Rijmen F; Tuerlinckx F; Meulders M; Smits DJ; Balázs K
    J Appl Meas; 2005; 6(3):273-88. PubMed ID: 15942071
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.