Criteria for dose-finding in two-stage seamless adaptive design

被引:3
|
作者
Zheng, Jiayin [1 ]
Chow, Shein-Chung [2 ,3 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Publ Hlth Sci, Biostat Program, 1124 Columbia St, Seattle, WA 98104 USA
[2] Duke Univ, Sch Med, Dept Biostat & Bioinformat, Durham, NC USA
[3] US FDA, Off Biostat, Ctr Drug Evaluat & Res, Silver Spring, MD USA
关键词
Dose selection; efficacy; interim analysis; probability of being the best dose; seamless adaptive design;
D O I
10.1080/10543406.2019.1657130
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
In pharmaceutical/clinical development, two-stage seamless adaptive designs are commonly considered. Such designs include a two-stage phase I/II or phase II/III adaptive trial that combines one phase IIb study for dose-finding or treatment selection and one phase III study for efficacy confirmation into a single study. At the end of stage 1, promising dose(s) will be selected based on pre-specified selection criteria. In practice, since there is little power with limited subjects available at interim, commonly considered selection criteria for critical decision-making include (i) conditional power, (ii) precision analysis, (iii) predictive probability of success, and (iv) probability of being the best dose or treatment. The selected promising dose(s) will then proceed to the next stage for efficacy confirmation. In this article, we introduce, compare, and evaluate these criteria. Simulation studies and a numeric example are given to illustrate those criteria. Besides, we attempt to address some concerns for the two-stage seamless adaptive clinical trial.
引用
收藏
页码:908 / 919
页数:12
相关论文
共 50 条
  • [21] Optimal Stopping of Adaptive Dose-Finding Trials
    Nasrollahzadeh, Amir Ali
    Khademi, Amin
    [J]. SERVICE SCIENCE, 2020, 12 (2-3) : 80 - 99
  • [22] Bayesian Adaptive Randomization in Dose-Finding Trials
    Ventz, Steffen
    Alexander, Brian M.
    Trippa, Lorenzo
    [J]. JAMA NETWORK OPEN, 2018, 1 (08)
  • [23] RESTART trial design: two-stage seamless transition design with operational considerations
    Yi, Min
    Zhuo, Bin
    Cooner, Freda
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2023, 33 (06) : 820 - 829
  • [24] Design of a two-stage adaptive fuzzy controller
    Lee, G. H.
    Taur, J. S.
    Tao, C. W.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 4959 - +
  • [25] Bayesian Two-Stage Adaptive Design in Bioequivalence
    Liu, Shengjie
    Gao, Jun
    Zheng, Yuling
    Huang, Lei
    Yan, Fangrong
    [J]. INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2020, 16 (01):
  • [26] Information in a two-stage adaptive optimal design
    Lane, Adam
    Yao, Ping
    Flournoy, Nancy
    [J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2014, 144 : 173 - 187
  • [27] A calculus for design of two-stage adaptive procedures
    Koyama, T
    Sampson, AR
    Gleser, LJ
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2005, 100 (469) : 197 - 203
  • [28] An adaptive gBOIN design with shrinkage boundaries for phase I dose-finding trials
    Mu, Rongji
    Hu, Zongliang
    Xu, Guoying
    Pan, Haitao
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2021, 21 (01)
  • [29] An adaptive gBOIN design with shrinkage boundaries for phase I dose-finding trials
    Rongji Mu
    Zongliang Hu
    Guoying Xu
    Haitao Pan
    [J]. BMC Medical Research Methodology, 21
  • [30] Statistical analysis for two-stage seamless design with different study endpoints
    Chow, Shein-Chung
    Lu, Qingshu
    Tse, Siu-Keung
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2007, 17 (06) : 1163 - 1176