메뉴 건너뛰기




Volumn 14, Issue 2, 2004, Pages 483-503

Ordinary differential equation PK/PD models using the SAS macro NLINMIX

Author keywords

Glucose disappearance model; Linearization method; Longitudinal data analysis; Nonlinear mixed effects model; Population pharmacokinetics and pharmacodynamics models; SAS IML macro

Indexed keywords

GLUCOSE;

EID: 2642526887     PISSN: 10543406     EISSN: None     Source Type: Journal    
DOI: 10.1081/BIP-120037194     Document Type: Article
Times cited : (6)

References (13)
  • 1
    • 0003747347 scopus 로고
    • San Francisco: NONMEM Project Group, University of California
    • Beal, S. L., Sheiner, L. B. (1992). NONMEM User's Guides. San Francisco: NONMEM Project Group, University of California.
    • (1992) NONMEM User's Guides
    • Beal, S.L.1    Sheiner, L.B.2
  • 2
    • 0002486749 scopus 로고
    • The minimal model approach to quantification of factors controlling glucose disposal in man
    • Cobelli, C., Bergman, R. N., eds. Wiley
    • Bergman, R. N., Bowden, C. R. (1981). The minimal model approach to quantification of factors controlling glucose disposal in man. In: Cobelli, C., Bergman, R. N., eds. Carbohydrate Metabolism. Wiley, pp. 269-296.
    • (1981) Carbohydrate Metabolism , pp. 269-296
    • Bergman, R.N.1    Bowden, C.R.2
  • 4
    • 0032033209 scopus 로고    scopus 로고
    • NLMEM: A new SAS/IML macro for hierarchical models
    • Galecki, A. T. (1998). NLMEM: A new SAS/IML macro for hierarchical models. Comput. Methods Progra. Biomed 55:207-216.
    • (1998) Comput. Methods Progra. Biomed. , vol.55 , pp. 207-216
    • Galecki, A.T.1
  • 5
    • 0025170004 scopus 로고
    • Nonlinear mixed effects models for repeated measures data
    • Lindstrom, M. J., Bates, D. M. (1990). Nonlinear mixed effects models for repeated measures data. Biometrics 46:673-687.
    • (1990) Biometrics , vol.46 , pp. 673-687
    • Lindstrom, M.J.1    Bates, D.M.2
  • 6
    • 84946045727 scopus 로고
    • Approximations to the log-likelihood function in the nonlinear mixed-effects model
    • Pinheiro, J. C., Bates, D. M. (1995). Approximations to the log-likelihood function in the nonlinear mixed-effects model. J. Computat. Graph. Statist. 4:12-35.
    • (1995) J. Computat. Graph. Statist. , vol.4 , pp. 12-35
    • Pinheiro, J.C.1    Bates, D.M.2
  • 8
    • 0003435447 scopus 로고    scopus 로고
    • Cary, NC: SAS Institute Inc
    • SAS Institute Inc. (1999a). SAS/IML User's Guide, Version 7. Cary, NC: SAS Institute Inc.
    • (1999) SAS/IML User's Guide, Version 7
  • 9
    • 0010994695 scopus 로고    scopus 로고
    • Cary, NC: SAS Institute Inc
    • SAS Institute Inc. (1999b). SAS/STAT User's Guide, Version 8. Cary, NC: SAS Institute Inc.
    • (1999) AS/STAT User's Guide Version 8
  • 12
    • 0001684437 scopus 로고
    • Laplace's approximation for nonlinear mixed effects models
    • Wolfinger, R. D. (1993). Laplace's approximation for nonlinear mixed effects models. Biometrika 80:791-795.
    • (1993) Biometrika , vol.80 , pp. 791-795
    • Wolfinger, R.D.1
  • 13
    • 0031222254 scopus 로고    scopus 로고
    • Two Taylor-series approximation methods for nonlinear mixed models
    • Wolfinger, R. D., Lin, X. (1997). Two Taylor-series approximation methods for nonlinear mixed models. Computat. Statist. Data Analy. 25:465-490.
    • (1997) Computat. Statist. Data Analy. , vol.25 , pp. 465-490
    • Wolfinger, R.D.1    Lin, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.