Influence Diagnostics of a Region of Interest in Multi-regional Clinical Trials

被引:0
|
作者
Kuribayashi, Kazuhiko [1 ]
Cao, Charlie [2 ]
机构
[1] Biogen Japan Ltd, Tokyo, Japan
[2] Biogen Inc, 14 Cambridge Ctr, Cambridge, MA 02142 USA
关键词
Consistency assessment; Influence of a region of interest; Rare disease; ICH E17 guideline;
D O I
10.1007/s43441-022-00458-1
中图分类号
R-058 [];
学科分类号
摘要
Multi-regional clinical trials (MRCTs) are an efficient way to enable recruitment of the planned number of subjects within a reasonable timeframe in drug development for rare diseases. One of the aim of MRCTs is to evaluate the applicability of overall trial results to a region of interest. Various statistical methods proposed for this purpose are primarily relying on regional estimates from subgroup analyses of a region of interest, thus they may not work well for studies with small sample size in rare diseases. This paper, instead, presented how to apply influence diagnostics to assessing influence of a region of interest on the overall results in MRCTs and showed this approach could be an analysis option for MRCTs in rare diseases through Monte Carlo simulation and analysis of an MRCT.
引用
收藏
页码:220 / 226
页数:7
相关论文
共 50 条
  • [1] Influence Diagnostics of a Region of Interest in Multi-regional Clinical Trials
    Kazuhiko Kuribayashi
    Charlie Cao
    [J]. Therapeutic Innovation & Regulatory Science, 2023, 57 : 220 - 226
  • [2] Multi-Regional Clinical Trials - What are the Challenges?
    Wang, Sue-Jane
    [J]. PHARMACEUTICAL STATISTICS, 2010, 9 (03) : 171 - 172
  • [3] On evaluation of consistency in multi-regional clinical trials
    Ying, Lisa
    Song, Fuyu
    Chow, Shein-Chung
    Zeng, Na
    Zheng, Jiayin
    Li, Xiaodong
    Henry, David
    Sethuraman, Venkat
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2018, 28 (05) : 840 - 856
  • [4] Statistical implications of extrapolating the overall result to the target region in multi-regional clinical trials
    Kang, Seung-Ho
    Kim, Saemina
    [J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2018, 25 (04) : 341 - 354
  • [5] Bayesian joint models for multi-regional clinical trials
    Bean, Nathan W.
    Ibrahim, Joseph G.
    Psioda, Matthew A.
    [J]. BIOSTATISTICS, 2023, 25 (03) : 852 - 866
  • [6] Bayesian modeling and prediction of accrual in multi-regional clinical trials
    Deng, Yi
    Zhang, Xiaoxi
    Long, Qi
    [J]. STATISTICAL METHODS IN MEDICAL RESEARCH, 2017, 26 (02) : 752 - 765
  • [7] Application of estimand framework to the design and analysis of multi-regional clinical trials
    Niu, Cuizhen
    Liang, Liwen
    Fu, Rong
    Zhong, Wenyan
    Wang, William W. B.
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2024,
  • [8] Random intercept hierarchical linear model for multi-regional clinical trials
    Park, Chunkyun
    Kang, Seung-Ho
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2024, 34 (01) : 16 - 36
  • [9] Practical Recommendations for Regional Consistency Evaluation in Multi-Regional Clinical Trials with Different Endpoints
    Teng, Zhaoyang
    Lin, Jianchang
    Zhang, Bin
    [J]. STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2018, 10 (01): : 50 - 56
  • [10] Some Recent Advances on Statistical Approaches for Planning Multi-regional Clinical Trials
    Hung H.M.J.
    Zhang X.
    Wang S.-J.
    [J]. Statistics in Biosciences, 2018, 10 (2) : 460 - 472