메뉴 건너뛰기




Volumn 7, Issue 2, 2005, Pages

On some "disadvantages" of the population approach

Author keywords

Confounding; Errors in variables; Noncompliance; Optimal design; Variable selection

Indexed keywords

DIGOXIN; PLACEBO;

EID: 30544444647     PISSN: 15221059     EISSN: 15221059     Source Type: Journal    
DOI: 10.1208/aapsj070238     Document Type: Article
Times cited : (15)

References (34)
  • 1
    • 0017688679 scopus 로고
    • Estimation of population characteristics of pharmacokinetic parameters from routine clinical data
    • Sheiner LB, Rosenberg B, Marathe VV. Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. J Pharmacokinet Biopharm. 1977;5:445-479.
    • (1977) J Pharmacokinet Biopharm. , vol.5 , pp. 445-479
    • Sheiner, L.B.1    Rosenberg, B.2    Marathe, V.V.3
  • 2
    • 0015405814 scopus 로고
    • Modelling of individual pharmacokinetics for computer-aided drug dosage
    • Sheiner LB, Rosenberg B, Melmon KL. Modelling of individual pharmacokinetics for computer-aided drug dosage. Comput Biomed Res. 1972;5:411-459.
    • (1972) Comput Biomed Res. , vol.5 , pp. 411-459
    • Sheiner, L.B.1    Rosenberg, B.2    Melmon, K.L.3
  • 5
    • 85081439715 scopus 로고    scopus 로고
    • Available at: Accessed date: July 19
    • Available at: http://www.uq.edu.au/pharmacy/sduffull/popt.htm. Accessed date: July 19, 2005.
    • (2005)
  • 6
    • 0035107001 scopus 로고    scopus 로고
    • Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs
    • Retout S, Duffull S, Mentre F. Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs. Comput Methods Programs Biomed. 2001;65:141-151.
    • (2001) Comput Methods Programs Biomed. , vol.65 , pp. 141-151
    • Retout, S.1    Duffull, S.2    Mentre, F.3
  • 7
    • 0037278847 scopus 로고    scopus 로고
    • Further developments of the Fisher information matrix in nonlinear mixed effects models with evaluation in population pharmacokinetics
    • Retout S, Mentre F. Further developments of the Fisher information matrix in nonlinear mixed effects models with evaluation in population pharmacokinetics. J Biopharm Stat. 2003;13:209-227.
    • (2003) J Biopharm Stat. , vol.13 , pp. 209-227
    • Retout, S.1    Mentre, F.2
  • 8
    • 1242269754 scopus 로고    scopus 로고
    • Optimisation of individual and population designs using Splus
    • Retout S, Mentre' F. Optimisation of individual and population designs using Splus. J Pharmacokinet Pharmacodyn. 2003;30:417-453.
    • (2003) J Pharmacokinet Pharmacodyn. , vol.30 , pp. 417-453
    • Retout, S.1    Mentre, F.2
  • 9
    • 0038336553 scopus 로고    scopus 로고
    • Prospective evaluation of a D-optimal designed population pharmacokinetic study
    • Green B, Duffull SB. Prospective evaluation of a D-optimal designed population pharmacokinetic study. J Pharmacokinet Pharmacodyn. 2003;30:145-161.
    • (2003) J Pharmacokinet Pharmacodyn. , vol.30 , pp. 145-161
    • Green, B.1    Duffull, S.B.2
  • 11
    • 0027049043 scopus 로고
    • Building population pharmacokinetic-pharmacodynamic models. I. Models for covariate effects
    • Mandema JW, Verotta D, Sheiner LB. Building population pharmacokinetic-pharmacodynamic models. I. Models for covariate effects. J Pharmacokinet Biopharm. 1992;20:511-528.
    • (1992) J Pharmacokinet Biopharm. , vol.20 , pp. 511-528
    • Mandema, J.W.1    Verotta, D.2    Sheiner, L.B.3
  • 12
    • 0031784112 scopus 로고    scopus 로고
    • Automated covariate model building with NONMEM
    • Jonsson EN, Karlsson MO. Automated covariate model building with NONMEM. Pharm Res. 1998;15:1463-1468.
    • (1998) Pharm Res. , vol.15 , pp. 1463-1468
    • Jonsson, E.N.1    Karlsson, M.O.2
  • 13
    • 0034947990 scopus 로고    scopus 로고
    • Efficient screening of covariates in population models using Wald's approximation to the likelihood ratio test
    • Kowalski KG, Huntmacher MM. Efficient screening of covariates in population models using Wald's approximation to the likelihood ratio test. J Pharmacokinet Pharmacodyn. 2001;28:253-275.
    • (2001) J Pharmacokinet Pharmacodyn. , vol.28 , pp. 253-275
    • Kowalski, K.G.1    Huntmacher, M.M.2
  • 14
    • 85081437944 scopus 로고    scopus 로고
    • Available at: Accessed date
    • Available at: http://www.cognigencorp.com/nonmem/nm/99sep152004.html. Accessed date.
  • 15
    • 85081433207 scopus 로고    scopus 로고
    • Available at: Accessed date
    • Available at: http://www.cognigencorp.com/nonmem/nm/99nov212000.html. Accessed date.
  • 16
    • 0016916438 scopus 로고
    • Prediction of creatinine clearance from serum creatinine
    • Cockroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31-42.
    • (1976) Nephron. , vol.16 , pp. 31-42
    • Cockroft, D.W.1    Gault, M.H.2
  • 18
    • 0033454017 scopus 로고    scopus 로고
    • The impact of compliance in pharmacokinetic studies
    • Vrijens B, Goetghebeur E. The impact of compliance in pharmacokinetic studies. Stat Methods Med Res. 1999;8:247-262.
    • (1999) Stat Methods Med Res. , vol.8 , pp. 247-262
    • Vrijens, B.1    Goetghebeur, E.2
  • 19
    • 1142299657 scopus 로고    scopus 로고
    • Electronic monitoring of variation in drug intakes can reduce bias and improve precision in pharmacokinetic/pharmacodynamic population studies
    • Vrijens B, Goetghebeur E. Electronic monitoring of variation in drug intakes can reduce bias and improve precision in pharmacokinetic/ pharmacodynamic population studies. Stat Med. 2004;23:531-544.
    • (2004) Stat Med. , vol.23 , pp. 531-544
    • Vrijens, B.1    Goetghebeur, E.2
  • 20
    • 0034785843 scopus 로고    scopus 로고
    • Selecting reliable pharmacokinetic data for explanatory analyses of clinical trials in the presence of noncompliance
    • Lu J, Gries J-M, Verotta D, Sheiner LB. Selecting reliable pharmacokinetic data for explanatory analyses of clinical trials in the presence of noncompliance. J Pharmacokinet Pharmacodyn. 2001;28:343-362.
    • (2001) J Pharmacokinet Pharmacodyn. , vol.28 , pp. 343-362
    • Lu, J.1    Gries, J.-M.2    Verotta, D.3    Sheiner, L.B.4
  • 21
    • 0038740695 scopus 로고    scopus 로고
    • Estimation of population pharmacokinetic parameters in the presence of non-compliance
    • Mu S, Ludden TM. Estimation of population pharmacokinetic parameters in the presence of non-compliance. J Pharmacokinet Pharmacodyn. 2003;30:53-81.
    • (2003) J Pharmacokinet Pharmacodyn. , vol.30 , pp. 53-81
    • Mu, S.1    Ludden, T.M.2
  • 22
    • 0027715858 scopus 로고
    • The importance of modeling interoccasion variability in population pharmacokinetic analyses
    • Karlsson MO, Sheiner LB. The importance of modeling interoccasion variability in population pharmacokinetic analyses. J Pharmacokinet Biopharm. 1993;21:735-750.
    • (1993) J Pharmacokinet Biopharm. , vol.21 , pp. 735-750
    • Karlsson, M.O.1    Sheiner, L.B.2
  • 23
    • 0029996130 scopus 로고    scopus 로고
    • The impact of patient compliance on drug concentration profile in multiple doses
    • Wang W, Hsuan F, Chow S-C. The impact of patient compliance on drug concentration profile in multiple doses. Stat Med. 1996;15:659-669.
    • (1996) Stat Med. , vol.15 , pp. 659-669
    • Wang, W.1    Hsuan, F.2    Chow, S.-C.3
  • 25
    • 7944220860 scopus 로고    scopus 로고
    • Population one-compartment pharmacokinetic analysis with missing dosage data
    • Soy D, Beal SL, Sheiner LB. Population one-compartment pharmacokinetic analysis with missing dosage data. Clin Pharmacol Ther. 2004;76:441-451.
    • (2004) Clin Pharmacol Ther. , vol.76 , pp. 441-451
    • Soy, D.1    Beal, S.L.2    Sheiner, L.B.3
  • 26
    • 0026320316 scopus 로고
    • The randomized concentration-controlled trial: An evaluation of its sample size efficiency
    • Sanathanan LP, Peck CC. The randomized concentration-controlled trial: an evaluation of its sample size efficiency. Control Clin Trials. 1991;12:780-794.
    • (1991) Control Clin Trials. , vol.12 , pp. 780-794
    • Sanathanan, L.P.1    Peck, C.C.2
  • 27
    • 30544436489 scopus 로고
    • Instrumental variable estimation
    • Kotz S, Johnson NI, Read CB, eds. New York: Wiley
    • Hausman JA. Instrumental variable estimation. In: Kotz S, Johnson NI, Read CB, eds. Encyclopedia of Statistical Sciences Volume 4. New York: Wiley, 1983;150-153.
    • (1983) Encyclopedia of Statistical Sciences , vol.4 , pp. 150-153
    • Hausman, J.A.1
  • 28
    • 0031814687 scopus 로고    scopus 로고
    • Econometrics in outcomes research: The use of instrumental variables
    • Newhouse JP, McClellan M. Econometrics in outcomes research: the use of instrumental variables. Annu Rev Public Health. 1998;19:17-34.
    • (1998) Annu Rev Public Health , vol.19 , pp. 17-34
    • Newhouse, J.P.1    McClellan, M.2
  • 29
    • 30544454740 scopus 로고
    • Two-stage least squares
    • Kotz S, Johnson NI, Read CB, eds. New York: Wiley
    • Amemiya T. Two-stage least squares. In: Kotz S, Johnson NI, Read CB, eds. Encyclopedia of Statistical Sciences Volume 9. New York: Wiley, 1988;373-375.
    • (1988) Encyclopedia of Statistical Sciences , vol.9 , pp. 373-375
    • Amemiya, T.1
  • 30
    • 0013369117 scopus 로고    scopus 로고
    • SAS Institute Inc. SAS Online Doc. Version 8
    • SAS Institute Inc. SAS/ETS Users Guide. SAS Online Doc. Version 8. 1999.
    • (1999) SAS/ETS Users Guide
  • 31
    • 0004213845 scopus 로고    scopus 로고
    • Cambridge, United Kingdom: Cambridge University Press
    • Pearl J. Causality. Cambridge, United Kingdom: Cambridge University Press, 2000.
    • (2000) Causality
    • Pearl, J.1
  • 32
    • 0033942150 scopus 로고    scopus 로고
    • Causal effects in clinical and epidemiological studies via potential outcomes: Concepts and analytical approaches
    • Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annu Rev Public Health. 2000;21:121-145.
    • (2000) Annu Rev Public Health , vol.21 , pp. 121-145
    • Little, R.J.1    Rubin, D.B.2
  • 33
    • 0002864224 scopus 로고    scopus 로고
    • Confounding and collapsibility in causal inference
    • Greenland S, Robins JM, Pearl J. Confounding and collapsibility in causal inference. Stat Sci. 1999;14:29-46.
    • (1999) Stat Sci. , vol.14 , pp. 29-46
    • Greenland, S.1    Robins, J.M.2    Pearl, J.3
  • 34
    • 0346880128 scopus 로고    scopus 로고
    • Identification of causal effects using instrumental variables
    • (with discussion)
    • Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables (with discussion). J Am Stat Assn. 1996;434:444-472.
    • (1996) J Am Stat Assn. , vol.434 , pp. 444-472
    • Angrist, J.D.1    Imbens, G.W.2    Rubin, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.