國家衛生研究院 NHRI:Item 3990099045/1872
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    題名: A hybrid Bayesian adaptive design for dose response trials
    作者: Chang, M;Chow, SC
    貢獻者: Division of Biostatistics and Bioinformatics
    摘要: In recent years, the use of adaptive design methods based on accrued data of on-going trials have become very popular for dose response trials in early clinical development due to their flexibility (EMEA, 2002). In this paper, we developed a hybrid frequentist-Bayesian continual reassessment method (CRM) in conjunction with utility-adaptive randomization for clinical trial designs with multiple endpoints. The proposed hyperlogistic function family with multiple parameters gives users flexibility for probability modeling. CRM reassesses a dose-response relationship based on accrued data of the on-going trial, which allows investigators to make decisions based on a constantly updated dose-response model. The proposed utility-adaptive randomization for multiple-endpoint trials allows more patients to be assigned to superior treatment groups. The performance of the proposed method was examined in terms of its operating characteristics through computer simulations.
    關鍵詞: Pharmacology & Pharmacy;Statistics & Probability
    日期: 2005
    關聯: Journal of Biopharmaceutical Statistics. 2005;15(4):677-691.
    Link to: http://dx.doi.org/10.1080/BIP-200062288
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1054-3406&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000236232700012
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=22044446489
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