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Volumn 32, Issue 5-6, 2005, Pages 685-701

Sample size computations for PK/PD population models

Author keywords

PK PD models; Sample size; Simulation methods

Indexed keywords

ARTICLE; CHI SQUARE DISTRIBUTION; MATHEMATICAL COMPUTING; METHODOLOGY; MONTE CARLO METHOD; POPULATION MODEL; POPULATION RESEARCH; PRIORITY JOURNAL; SAMPLE SIZE; STATISTICAL ANALYSIS; STEADY STATE;

EID: 28844482941     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-005-0078-3     Document Type: Article
Times cited : (32)

References (27)
  • 1
    • 0022834153 scopus 로고
    • Sample size requirements and the cost of a randomized clinical trial with repeated measurements
    • D.A. Bloch 1986 Sample size requirements and the cost of a randomized clinical trial with repeated measurements Stat. Med. 5 663 667
    • (1986) Stat. Med. , vol.5 , pp. 663-667
    • Bloch, D.A.1
  • 2
    • 0022771046 scopus 로고
    • Sample sizes in the multivariate analysis of repeated measurements
    • E.F. Vonesh M.A. Schork 1986 Sample sizes in the multivariate analysis of repeated measurements Biometrics 42 601 610
    • (1986) Biometrics , vol.42 , pp. 601-610
    • Vonesh, E.F.1    Schork, M.A.2
  • 3
    • 0032581451 scopus 로고    scopus 로고
    • Application of GEE procedures for sample size calculations in repeated measures experiments
    • J. Rochon 1998 Application of GEE procedures for sample size calculations in repeated measures experiments Stat. Med. 17 1643 1658
    • (1998) Stat. Med. , vol.17 , pp. 1643-1658
    • Rochon, J.1
  • 4
    • 0023197123 scopus 로고
    • Hemodynamic regulation in SHR: Investigation by spectral analysis
    • S. Akselrod S. Eliash O. Oz S. Cohen 1988 Hemodynamic regulation in SHR: investigation by spectral analysis Am. J. Physiol. 253 H176 183
    • (1988) Am. J. Physiol. , vol.253 , pp. 176-183
    • Akselrod, S.1    Eliash, S.2    Oz, O.3    Cohen, S.4
  • 5
    • 0025975363 scopus 로고
    • Sample sizes for repeated measurements in dichotomous data
    • K.-J. Lui 1991 Sample sizes for repeated measurements in dichotomous data Stat. Med. 10 463 472
    • (1991) Stat. Med. , vol.10 , pp. 463-472
    • Lui, K.-J.1
  • 6
    • 0026562205 scopus 로고
    • Sample size requirement for repeated measurements in continuous data
    • K.-J. Lui W.G. Cumberland 1992 Sample size requirement for repeated measurements in continuous data Stat. Med. 11 633 641
    • (1992) Stat. Med. , vol.11 , pp. 633-641
    • Lui, K.-J.1    Cumberland, W.G.2
  • 7
    • 0031421725 scopus 로고    scopus 로고
    • Sample size determination for repeated measurements in bioequivalence test
    • K.-J. Lui 1997 Sample size determination for repeated measurements in bioequivalence test J. Pharmacokinetic Biop. 25 507 513
    • (1997) J. Pharmacokinetic Biop. , vol.25 , pp. 507-513
    • Lui, K.-J.1
  • 8
    • 0034758459 scopus 로고    scopus 로고
    • On sample size calculation in bioequivalence trials
    • S.-C. Chow H. Wang 2001 On sample size calculation in bioequivalence trials J. Pharmacokinetic Biop. 28 155 169
    • (2001) J. Pharmacokinetic Biop. , vol.28 , pp. 155-169
    • Chow, S.-C.1    Wang, H.2
  • 10
    • 4344613538 scopus 로고    scopus 로고
    • Sample size computation method for nonlinear mixed effects models with applications to pharmacokinetics models
    • D. Kang J.B. Schwartz D.A Verotta 2004 Sample size computation method for nonlinear mixed effects models with applications to pharmacokinetics models Stat. Med. 23 2551 2566
    • (2004) Stat. Med. , vol.23 , pp. 2551-2566
    • Kang, D.1    Schwartz, J.B.2    Verotta, D.A.3
  • 12
    • 84925623234 scopus 로고
    • Tests of statistical hypotheses concerning several parameters when the number of observations is large
    • A. Wald 1943 Tests of statistical hypotheses concerning several parameters when the number of observations is large T. Am. Math. Soc. 54 426 482
    • (1943) T. Am. Math. Soc. , vol.54 , pp. 426-482
    • Wald, A.1
  • 14
    • 0022486728 scopus 로고
    • Verapamil pharmacodynamics and disposition in young and elderly hypertensive patients: Altered electrocardiographics and hypotensive responses
    • D.R. Abernethy J.B. Schwartz E.L. Todd R. Luchi E. Snow 1986 Verapamil pharmacodynamics and disposition in young and elderly hypertensive patients: altered electrocardiographics and hypotensive responses Ann. Int. Med. 105 329 336
    • (1986) Ann. Int. Med. , vol.105 , pp. 329-336
    • Abernethy, D.R.1    Schwartz, J.B.2    Todd, E.L.3    Luchi, R.4    Snow, E.5
  • 15
    • 0004161838 scopus 로고    scopus 로고
    • Cambridge University Press
    • Numerical Recipes. Cambridge University Press. http://www.nr.com/
    • Numerical Recipes
  • 17
    • 0018472841 scopus 로고
    • Identifiability of Compartmental systems and related structural properties
    • C. Cobelli A. Lepschy G.R. Jacur 1979 Identifiability of Compartmental systems and related structural properties Math. Biosci. 44 1 18
    • (1979) Math. Biosci. , vol.44 , pp. 1-18
    • Cobelli, C.1    Lepschy, A.2    Jacur, G.R.3
  • 18
    • 0014341045 scopus 로고
    • Kinetics of interaction between drugs and biological systems
    • G. Segre 1968 Kinetics of interaction between drugs and biological systems Il Farmaco 23 907 918
    • (1968) Il Farmaco , vol.23 , pp. 907-918
    • Segre, G.1
  • 19
    • 0030427104 scopus 로고    scopus 로고
    • Concepts, properties, and applications of linear systems to describe the distribution, indentify input, and control endogenous substances and drugs in biological systems
    • D. Verotta 1996 Concepts, properties, and applications of linear systems to describe the distribution, indentify input, and control endogenous substances and drugs in biological systems Criti. Rev. Bioeng. 24 73 139
    • (1996) Criti. Rev. Bioeng. , vol.24 , pp. 73-139
    • Verotta, D.1
  • 20
    • 0027769745 scopus 로고
    • Comparison of four basic models of indirect pharmacodynamic responses
    • N.L. Dayneka V. Garg W.J. Jusko 1993 Comparison of four basic models of indirect pharmacodynamic responses J. Pharmacokinet. Biop. 21 457 478
    • (1993) J. Pharmacokinet. Biop. , vol.21 , pp. 457-478
    • Dayneka, N.L.1    Garg, V.2    Jusko, W.J.3
  • 21
    • 0037261288 scopus 로고    scopus 로고
    • Population analyses of sustained-release verapamil in patients: Effects of sex, race, and smoking
    • D. Kang 2003 Population analyses of sustained-release verapamil in patients: Effects of sex, race, and smoking Clini. Pharmacol. Ther. 73 31 40
    • (2003) Clini. Pharmacol. Ther. , vol.73 , pp. 31-40
    • Kang, D.1
  • 22
    • 0022361161 scopus 로고
    • Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design
    • J.J. Jacquez P. Greif 1985 Numerical parameter identifiability and estimability: integrating identifiability, estimability, and optimal sampling design Math. Biosci. 77 201 227
    • (1985) Math. Biosci. , vol.77 , pp. 201-227
    • Jacquez, J.J.1    Greif, P.2
  • 23
    • 0023574543 scopus 로고
    • Optimal experiment design for nonlinear models subject to large prior uncertainties
    • (Regulatory Integrative Comp Physiol 22)
    • E. Walter L. Pronzato 1987 Optimal experiment design for nonlinear models subject to large prior uncertainties Am. J. Physiol. 253 R530 R534 (Regulatory Integrative Comp Physiol 22)
    • (1987) Am. J. Physiol. , vol.253
    • Walter, E.1    Pronzato, L.2
  • 24
    • 0032465920 scopus 로고    scopus 로고
    • A Robust optimal design for the estimation of hyperparameters in population
    • M. Tod M. Mentre F. Merle Y. Mallet 1998 A Robust optimal design for the estimation of hyperparameters in population pharmacokinetics 26 689 716
    • (1998) Pharmacokinetics , vol.26 , pp. 689-716
    • Tod, M.1    Mentre, M.2    Merle, F.3    Mallet, Y.4
  • 26
    • 1242269754 scopus 로고    scopus 로고
    • Optimization of Individual and Population Designs using Splus
    • S. Retout F. Mentre 2003 Optimization of Individual and Population Designs using Splus J. Pharmacokinet Phar. 30 417 443
    • (2003) J. Pharmacokinet Phar. , vol.30 , pp. 417-443
    • Retout, S.1    Mentre, F.2
  • 27


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.