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Parametric and Nonparametric Population Methods

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References

  1. Bustad A, Terziivanov D, Leary R, et al. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies. Clin Pharmacokinet 2006; 45(4): 365–83

    Article  PubMed  Google Scholar 

  2. Leary RH, Jelliffe RW, Schumitzky A, et al. A unified parametric/nonparametric approach to population PK/PD modeling [online]. Annual meeting of the Population Approach Group in Europe; 2002 Jun 6–7; Paris. Available from URL: http://www.lapk.org [Accessed 2006 Jun 28]

  3. Jelliffe R, Schumitzky A, Bayard D, et al. Model-based, goal-oriented, individualised drug therapy: linkage of population modeling, new ‘multiple model’ dosage design, Bayesian feedback and individualised target goals. Clin Pharmacokinet 1998; 34(1): 57–77

    Article  PubMed  CAS  Google Scholar 

  4. Jelliffe R, Schumitzky A, Van Guilder M. Population pharmacokinetics-pharmacodynamics modeling: parametric and nonparametric methods. Ther Drug Monit 2000; 22: 354–65

    Article  PubMed  CAS  Google Scholar 

  5. Steimer JL, Mallet A, Golmard JL, et al. Alternative approaches to estimation of population pharmacokinetic parameters: comparison with the nonlinear mixed-effect model. Drug Metab Rev 1984; 15: 265–92

    Article  PubMed  CAS  Google Scholar 

  6. Mentré F, Gomeni R. A two-step interactive algorithm for estimation in nonlinear mixed-effect models with an evaluation in population pharmacokinetics. J Biopharm Stat 1995; 5: 141–58

    Article  PubMed  Google Scholar 

  7. Bennett JE, Wakefield JC. A comparison of a Bayesian population method with two methods as implemented in commercially available software. J Pharmacokinet Biopharm 1996; 24: 403–32

    PubMed  CAS  Google Scholar 

  8. Girard P, Mentré F. A comparison of estimation methods in nonlinear mixed effects models using a blind analysis [online]. 14th meeting of the Population Approach Group in Europe; 2005 Jun 16–17; Pamplona. Available from URL: http://www.page-meeting.org [Accessed 2006 Jun 28]

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Proost, J.H., Eleveld, D.J. Parametric and Nonparametric Population Methods. Clin Pharmacokinet 45, 851–852 (2006). https://doi.org/10.2165/00003088-200645080-00007

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