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Volumn 8, Issue 4, 2009, Pages 346-355

Adaptive modelling of dose-response relationships using smoothing splines

Author keywords

Adaptive; Bootstrap; Dose response; Generalized cross validation; Smoothing spline

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; DOSE RESPONSE; PERFORMANCE; SIMULATION; SMOOTHING SPLINE; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION PROCESS;

EID: 73949152509     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.363     Document Type: Article
Times cited : (4)

References (5)
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    • 36248961734 scopus 로고    scopus 로고
    • Innovative approaches for designing and analyzing adaptive dose-ranging trials
    • DOI: 10.1080/10543400701643848
    • Bornkamp B et al. Innovative approaches for designing and analyzing adaptive dose-ranging trials. Journal of Biopharmaceutical Statistics 2007; 17:965-995. DOI: 10.1080/10543400701643848.
    • (2007) Journal of Biopharmaceutical Statistics , vol.17 , pp. 965-995
    • Bornkamp, B.1
  • 2
    • 0012838924 scopus 로고    scopus 로고
    • Adaptive Bayesian designs for dose-ranging drug trials
    • Gatsonis C, Kass RE, Carlin B, Carriquiry A, Gelman A, Verdinelli I, West M eds, Springer: New York
    • Berry DA et al. Adaptive Bayesian designs for dose-ranging drug trials. In: Case studies in Bayesian Statistics V, Gatsonis C, Kass RE, Carlin B, Carriquiry A, Gelman A, Verdinelli I, West M (eds). Springer: New York, 2002; 99-181.
    • (2002) Case studies in Bayesian Statistics V , pp. 99-181
    • Berry, D.A.1
  • 3
    • 33644897345 scopus 로고    scopus 로고
    • Implementation of a Bayesian adaptive design in a proof of concept study
    • DOI: 10.1002/pst.198
    • Smith MK et al. Implementation of a Bayesian adaptive design in a proof of concept study. Pharmaceutical Statistics 2006; 5:39-50. DOI: 10.1002/pst.198.
    • (2006) Pharmaceutical Statistics , vol.5 , pp. 39-50
    • Smith, M.K.1
  • 5
    • 33748324384 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing: Vienna, Austria
    • R Development Core Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria, 2006.
    • (2006) R: A language and environment for statistical computing


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.