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Volumn 37, Issue 5, 2010, Pages 475-491

An example of optimal phase II design for exposure response modelling

Author keywords

Emax model; Exposure response; Optimal design; Phase II clinical trial

Indexed keywords

DRUG;

EID: 78049394175     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10928-010-9168-y     Document Type: Article
Times cited : (4)

References (32)
  • 1
    • 0031003468 scopus 로고    scopus 로고
    • Learning versus confirming in clinical drug development
    • DOI 10.1016/S0009-9236(97)90160-0
    • L Sheiner 1997 Learning versus confirming in clinical drug development Clin Pharmacol Ther 61 275 291 1:STN:280:DyaK2s3jvVWitQ%3D%3D 10.1016/S0009-9236(97)90160-0 9084453 (Pubitemid 27145429)
    • (1997) Clinical Pharmacology and Therapeutics , vol.61 , Issue.3 , pp. 275-291
    • Sheiner, L.B.1
  • 2
    • 78049388820 scopus 로고    scopus 로고
    • Exposure-response relationships: Study design, data analysis, and regulatory applications
    • April
    • Exposure-response relationships: study design, data analysis, and regulatory applications. FDA Guidance for Industry, April 2003. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/ Guidances/ucm072109.pdf
    • (2003) FDA Guidance for Industry
  • 3
    • 0032765435 scopus 로고    scopus 로고
    • Relationships between exposure to saquinavir monotherapy and antiviral response in HIV-positive patients
    • DOI 10.2165/00003088-199937010-00005
    • R Gieschke, et al. 1999 Relationships between exposure to saquinavir monotherapy and antiviral response in HIV-positive patients Clin Pharmacokinet 37 1 75 86 1:CAS:528:DyaK1MXls1Wiu7Y%3D 10.2165/00003088-199937010-00005 10451784 (Pubitemid 29366761)
    • (1999) Clinical Pharmacokinetics , vol.37 , Issue.1 , pp. 75-86
    • Gieschke, R.1    Fotteler, B.2    Buss, N.3    Steimer, J.-L.4
  • 4
    • 33846430457 scopus 로고    scopus 로고
    • Modeling the exposure-response relationship of etanercept in the treatment of patients with chronic moderate to severe plaque psoriasis
    • DOI 10.1177/0091270006295062
    • MM Hutmacher, et al. 2007 Modeling the exposure-response relationship of etanercept in the treatment of patients with chronic moderate to severe plaque psoriasis J Clin Pharmacol 47 2 238 248 1:CAS:528:DC%2BD2sXitVClsbk%3D 10.1177/0091270006295062 17244775 (Pubitemid 46146490)
    • (2007) Journal of Clinical Pharmacology , vol.47 , Issue.2 , pp. 238-248
    • Hutmacher, M.M.1    Nestorov, I.2    Ludden, T.3    Zitnik, R.4    Banfield, C.5
  • 5
    • 0024811607 scopus 로고
    • Clinical pharmacology and the choice between theory and empiricism
    • 1:STN:280:DyaK3c%2FptFaqsg%3D%3D 10.1038/clpt.1989.195 2689043
    • LB Sheiner 1989 Clinical pharmacology and the choice between theory and empiricism Clin Pharmacol Ther 46 6 605 615 1:STN:280:DyaK3c%2FptFaqsg%3D%3D 10.1038/clpt.1989.195 2689043
    • (1989) Clin Pharmacol Ther , vol.46 , Issue.6 , pp. 605-615
    • Sheiner, L.B.1
  • 7
    • 0022770442 scopus 로고
    • Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays
    • 1:STN:280:DyaL2s7osFOjtw%3D%3D 10.2307/2531207 3567290
    • DA Ratkowsky TJ Reedy 1986 Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays Biometrics 42 3 575 582 1:STN:280:DyaL2s7osFOjtw%3D%3D 10.2307/2531207 3567290
    • (1986) Biometrics , vol.42 , Issue.3 , pp. 575-582
    • Ratkowsky, D.A.1    Reedy, T.J.2
  • 8
    • 0033152416 scopus 로고    scopus 로고
    • Methodology for pharmacokinetic/pharmacodynamic data analysis
    • DOI 10.1016/S1461-5347(99)00162-5, PII S1461534799001625
    • JL Gabrielsson DL Weiner 1999 Methodology for pharmacokinetic/ pharmacodynamic data analysis Pharm Sci Technol Today 2 6 244 252 1:CAS:528:DyaK1MXns1Gjsb4%3D 10.1016/S1461-5347(99)00162-5 10366840 (Pubitemid 29272084)
    • (1999) Pharmaceutical Science and Technology Today , vol.2 , Issue.6 , pp. 244-252
    • Gabrielsson, J.L.1    Weiner, D.L.2
  • 9
    • 0019785890 scopus 로고
    • Understanding the dose-effect relationship: Clinical application of pharmacokinetic-pharmacodynamic models
    • 1:CAS:528:DyaL38XivVWhuw%3D%3D 10.2165/00003088-198106060-00002 7032803
    • NH Holford LB Sheiner 1981 Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models Clin Pharmacokinet 6 6 429 453 1:CAS:528:DyaL38XivVWhuw%3D%3D 10.2165/00003088- 198106060-00002 7032803
    • (1981) Clin Pharmacokinet , vol.6 , Issue.6 , pp. 429-453
    • Holford, N.H.1    Sheiner, L.B.2
  • 10
    • 0842281897 scopus 로고    scopus 로고
    • Optimal designs for Michaelis-Menten kinetic studies
    • DOI 10.1002/sim.1612
    • JN Matthews GC Allcock 2004 Optimal designs for Michaelis-Menten kinetic studies Stat Med 23 3 477 491 1:STN:280:DC%2BD2c%2FkslSmug%3D%3D 10.1002/sim.1612 14748040 (Pubitemid 38180800)
    • (2004) Statistics in Medicine , vol.23 , Issue.3 , pp. 477-491
    • Matthews, J.N.S.1    Allock, G.C.2
  • 11
    • 0037469541 scopus 로고    scopus 로고
    • Efficient and accurate experimental design for enzyme kinetics: Bayesian studies reveal a systematic approach
    • DOI 10.1016/S0165-022X(02)00183-5
    • EF Murphy SG Gilmour MJC Crabbe 2003 Efficient and accurate experimental design for enzyme kinetics: Bayesian studies reveal a systematic approach J Biochem Biophys Methods 55 2 155 178 1:CAS:528:DC%2BD3sXhvFWqtrY%3D 10.1016/S0165-022X(02)00183-5 12628698 (Pubitemid 36287389)
    • (2003) Journal of Biochemical and Biophysical Methods , vol.55 , Issue.2 , pp. 155-178
    • Murphy, E.F.1    Gilmour, S.G.2    Crabbe, M.J.C.3
  • 12
    • 0022891244 scopus 로고
    • Design of experiments for the precise estimation of the dose-response parameters: The Hill equation
    • 1:STN:280:DyaL1c%2Fht1Gitg%3D%3D 10.1016/S0022-5193(86)80211-9 3657186
    • M Bezeau L Endrenyi 1986 Design of experiments for the precise estimation of the dose-response parameters: the Hill equation J Theor Biol 123 415 430 1:STN:280:DyaL1c%2Fht1Gitg%3D%3D 10.1016/S0022-5193(86)80211-9 3657186
    • (1986) J Theor Biol , vol.123 , pp. 415-430
    • Bezeau, M.1    Endrenyi, L.2
  • 13
    • 7244262566 scopus 로고    scopus 로고
    • Optimal design for estimating parameters of the 4-parameter hill model
    • 1:CAS:528:DC%2BD3sXps1Knsr4%3D 10.1080/15401420390249925 19330140
    • LA Khinkis, et al. 2003 Optimal design for estimating parameters of the 4-parameter hill model Nonlinearity Biol Toxicol Med 1 3 363 377 1:CAS:528:DC%2BD3sXps1Knsr4%3D 10.1080/15401420390249925 19330140
    • (2003) Nonlinearity Biol Toxicol Med , vol.1 , Issue.3 , pp. 363-377
    • Khinkis, L.A.1
  • 14
    • 0346968368 scopus 로고    scopus 로고
    • Standardized maximin E-optimal designs for the Michaelis-Menten model
    • H Dette VB Melas A Pepelyshev 2003 Standardized maximin E-optimal designs for Michaelis-Menten model Stat Sin 13 1147 1163 (Pubitemid 38042010)
    • (2003) Statistica Sinica , vol.13 , Issue.4 , pp. 1147-1163
    • Dette, H.1    Melas, V.B.2    Pepelyshev, A.3
  • 15
    • 33748637113 scopus 로고    scopus 로고
    • Assessment of dosing impact on intra-individual variability in estimation of parameters for basic indirect response models
    • DOI 10.1007/s10928-006-9028-y
    • W Krzyzanski, et al. 2006 Assessment of dosing impact on intra-individual variability in estimation of parameters for basic indirect response models J Pharmacokinet Pharmacodyn 33 5 635 655 10.1007/s10928-006-9028-y 16941234 (Pubitemid 44386861)
    • (2006) Journal of Pharmacokinetics and Pharmacodynamics , vol.33 , Issue.5 , pp. 635-655
    • Krzyzanski, W.1    Dmochowski, J.2    Matsushima, N.3    Jusko, W.J.4
  • 16
    • 72349092323 scopus 로고    scopus 로고
    • D-optimal designs for parameter estimation for indirect pharmacodynamic response models
    • 10.1007/s10928-009-9135-7 19904585
    • LA Khinkis, et al. 2009 D-optimal designs for parameter estimation for indirect pharmacodynamic response models J Pharmacokinet Pharmacodyn 36 6 523 539 10.1007/s10928-009-9135-7 19904585
    • (2009) J Pharmacokinet Pharmacodyn , vol.36 , Issue.6 , pp. 523-539
    • Khinkis, L.A.1
  • 17
    • 0000963178 scopus 로고    scopus 로고
    • Optimal design in random-effects regression models
    • 10.1093/biomet/84.2.429
    • F Mentre A Mallet D Baccar 1997 Optimal design in random-effects regression models Biometrika 84 2 429 442 10.1093/biomet/84.2.429
    • (1997) Biometrika , vol.84 , Issue.2 , pp. 429-442
    • Mentre, F.1    Mallet, A.2    Baccar, D.3
  • 18
    • 34548859570 scopus 로고    scopus 로고
    • Bayesian optimal designs for pharmacokinetic models: Sensitivity to uncertainty
    • DOI 10.1080/10543400701514007, PII 782019165
    • A Dokoumetzidis L Aarons 2007 Bayesian optimal designs for pharmacokinetic models: sensitivity to uncertainty J Biopharm Stat 17 5 851 867 10.1080/10543400701514007 17885870 (Pubitemid 47450740)
    • (2007) Journal of Biopharmaceutical Statistics , vol.17 , Issue.5 , pp. 851-867
    • Dokoumetzidis, A.1    Aarons, L.2
  • 19
    • 33645817934 scopus 로고    scopus 로고
    • Optimal design for multivariate response pharmacokinetic models
    • 10.1007/s10928-006-9009-1 16550455
    • I Gueorguieva, et al. 2006 Optimal design for multivariate response pharmacokinetic models J Pharmacokinet Pharmacodyn 33 2 97 124 10.1007/s10928-006-9009-1 16550455
    • (2006) J Pharmacokinet Pharmacodyn , vol.33 , Issue.2 , pp. 97-124
    • Gueorguieva, I.1
  • 20
    • 54349105104 scopus 로고    scopus 로고
    • Dose finding-A challenge in statistics
    • 10.1002/bimj.200810438 18663758
    • F Bretz, et al. 2008 Dose finding-a challenge in statistics Biom J 50 4 480 504 10.1002/bimj.200810438 18663758
    • (2008) Biom J , vol.50 , Issue.4 , pp. 480-504
    • Bretz, F.1
  • 21
    • 77949409042 scopus 로고    scopus 로고
    • Practical considerations for optimal designs in clinical dose finding studies
    • 10.1002/sim.3802 20213708
    • F Bretz H Dette JC Pinheiro 2010 Practical considerations for optimal designs in clinical dose finding studies Stat Med 29 7-8 731 742 10.1002/sim.3802 20213708
    • (2010) Stat Med , vol.29 , Issue.78 , pp. 731-742
    • Bretz, F.1    Dette, H.2    Pinheiro, J.C.3
  • 22
    • 27744573697 scopus 로고    scopus 로고
    • Combining multiple comparisons and modeling techniques in dose-response studies
    • DOI 10.1111/j.1541-0420.2005.00344.x
    • F Bretz JC Pinheiro M Branson 2005 Combining multiple comparisons and modeling techniques in dose-response studies Biometrics 61 3 738 748 1:STN:280:DC%2BD2Mvmslertg%3D%3D 10.1111/j.1541-0420.2005.00344.x 16135025 (Pubitemid 41805848)
    • (2005) Biometrics , vol.61 , Issue.3
    • Bretz, F.1    Pinheiro, J.C.2    Branson, M.3
  • 23
    • 33751557786 scopus 로고    scopus 로고
    • max model applied to sparse dose-response designs
    • DOI 10.1080/10543400600860469, PII M144278PU151L583
    • max model applied to sparse dose-response designs J Biopharm Stat 16 5 657 677 10.1080/10543400600860469 17037264 (Pubitemid 44844018)
    • (2006) Journal of Biopharmaceutical Statistics , vol.16 , Issue.5 , pp. 657-677
    • Thomas, N.1
  • 24
    • 33751567567 scopus 로고    scopus 로고
    • Design and analysis of dose-finding studies combining multiple comparisons and modeling procedures
    • DOI 10.1080/10543400600860428, PII X6H2021701417415
    • J Pinheiro B Bornkamp F Bretz 2006 Design and analysis of dose-finding studies combining multiple comparisons and modeling procedures J Biopharm Stat 16 5 639 656 10.1080/10543400600860428 17037263 (Pubitemid 44844017)
    • (2006) Journal of Biopharmaceutical Statistics , vol.16 , Issue.5 , pp. 639-656
    • Pinheiro, J.1    Bornkamp, B.2    Bretz, F.3
  • 26
    • 0012838924 scopus 로고    scopus 로고
    • Adaptive Bayesian designs for dose-ranging drug trials
    • Case studies in Bayesian statistics V. Springer, New York
    • Berry DA et al (2002) Adaptive Bayesian designs for dose-ranging drug trials. Lecture Notes in Statist. In: Case studies in Bayesian statistics V. Springer, New York, pp 99-181
    • (2002) Lecture Notes in Statist , pp. 99-181
    • Berry, D.A.1
  • 27
    • 33749352000 scopus 로고    scopus 로고
    • The need for more efficient trial designs
    • DOI 10.1002/sim.2629
    • HL Golub 2006 The need for more efficient trial designs Stat Med 25 19 3231 3235 10.1002/sim.2629 16819752 (Pubitemid 44489389)
    • (2006) Statistics in Medicine , vol.25 , Issue.19 , pp. 3231-3235
    • Golub, H.L.1
  • 28
    • 34648822555 scopus 로고    scopus 로고
    • Optimal adaptive design in clinical drug development: A simulation example
    • DOI 10.1177/0091270007308033
    • A Maloney MO Karlsson US Simonsson 2007 Optimal adaptive design in clinical drug development: a simulation example J Clin Pharmacol 47 10 1231 1243 1:CAS:528:DC%2BD2sXhtFygu7fO 10.1177/0091270007308033 17906158 (Pubitemid 47459671)
    • (2007) Journal of Clinical Pharmacology , vol.47 , Issue.10 , pp. 1231-1243
    • Maloney, A.1    Karlsson, M.O.2    Simonsson, U.S.H.3
  • 29
    • 65649093620 scopus 로고    scopus 로고
    • Adaptive designs for confirmatory clinical trials
    • 10.1002/sim.3538 19206095
    • F Bretz, et al. 2009 Adaptive designs for confirmatory clinical trials Stat Med 28 8 1181 1217 10.1002/sim.3538 19206095
    • (2009) Stat Med , vol.28 , Issue.8 , pp. 1181-1217
    • Bretz, F.1
  • 30
    • 78049386616 scopus 로고    scopus 로고
    • SAS Institute Inc., Cary, NC, USA
    • SAS Institute Inc., Cary, NC, USA


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