Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes

被引:0
|
作者
Fang, Yixin [1 ]
Jin, Man [1 ]
Wu, Chengqing [2 ]
机构
[1] Fang 1 North Waukegan Rd, N Chicago, IL 60064 USA
[2] 55,Challenger Rd STE 501, Ridgefield Pk, NJ 07660 USA
关键词
AND PHRASES; Clinical trials; Estimand; current events; Sample size; Time-to-event;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The ICH E9(R1) guidance recommended a framework to align planning, design, conduct, analysis, and interpretation of any clincial trial with its objective and estimand. How to handle intercurrent events (ICEs) is one of the five attributes of an estimand and sample size calculation is a key step in the trial planning and design. Therefore, sample size calcula-tion should be aligned with the estimand and, in particular, with how the ICEs are handled. ICH E9(R1) summarized five strategies for handling ICEs, and five approaches have been proposed in the literature for sample size calculation when planning trials with quantitative and binary outcomes. In this paper, we discuss how to apply the five strategies to deal with ICEs in clinical trials with time-to-event outcomes and propose five approaches for sample size calculation that are aligned with the five strategies, respectively. AMS 2000 SUBJECT CLASSIFICATIONS: Primary 62N03, 62G10; secondary 62G99.
引用
收藏
页码:63 / 68
页数:6
相关论文
共 50 条
  • [31] Sample size determination for time-to-event endpoints in randomized selection trials with generalized exponential distribution
    Akbar, Muhammad Hamza
    Ali, Sajid
    Shah, Ismail
    Alqifari, Hana N.
    HELIYON, 2024, 10 (05)
  • [32] Sample size calculation for randomized selection trials with a time-to-event endpoint and a margin of practical equivalence
    Dehbi, Hakim-Moulay
    Embleton-Thirsk, Andrew
    McCaw, Zachary Ryan
    STATISTICS IN MEDICINE, 2022, 41 (20) : 4022 - 4033
  • [33] Sample size for a noninferiority clinical trial with time-to-event data in the presence of competing risks
    Han, Dong
    Chen, Zheng
    Hou, Yawen
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2018, 28 (04) : 797 - 807
  • [34] Designs for clinical trials with time-to-event outcomes based on stopping guidelines for lack of benefit
    Royston, Patrick
    Barthel, Friederike M-S
    Parmar, Mahesh K. B.
    Choodari-Oskooei, Babak
    Isham, Valerie
    TRIALS, 2011, 12
  • [35] An introduction to sample size calculations in clinical trials
    Accordini, Simone
    EPIDEMIOLOGIA E PSICHIATRIA SOCIALE-AN INTERNATIONAL JOURNAL FOR EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES, 2007, 16 (04): : 299 - 301
  • [36] Multi-arm multi-stage clinical trials for time-to-event outcomes
    Dixit, Vaidehi
    Mitra, Priyam
    Simonsen, Katy
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2021, 31 (06) : 838 - 851
  • [37] Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials JACC Review Topic of the Week
    Gregson, John
    Sharples, Linda
    Stone, Gregg W.
    Burman, Carl-Fredrik
    Ohrn, Fredrik
    Pocock, Stuart
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 74 (16) : 2102 - 2112
  • [38] Designs for clinical trials with time-to-event outcomes based on stopping guidelines for lack of benefit
    Patrick Royston
    Friederike M-S Barthel
    Mahesh KB Parmar
    Babak Choodari-Oskooei
    Valerie Isham
    Trials, 12
  • [39] Bayesian design of clinical trials with multiple time-to-event outcomes subject to functional cure
    Cho, Seoyoon
    Psioda, Matthew A.
    Ibrahim, Joseph G.
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2025,
  • [40] Estimation of ascertainment bias and its effect on power in clinical trials with time-to-event outcomes
    Greene, Erich J.
    Peduzzi, Peter
    Dziura, James
    Meng, Can
    Miller, Michael E.
    Travison, Thomas G.
    Esserman, Denise
    STATISTICS IN MEDICINE, 2021, 40 (05) : 1306 - 1320