This article summarizes the discussions from the American Statistical Association (ASA) Biopharmaceutical (BIOP) Section Open Forum that took place on December 10, 2020 and was organized by the ASA BIOP Statistical Methods in Oncology Scientific Working Group, in coordination with the US FDA Oncology Center of Excellence. Diverse stakeholders including experts from international regulatory agencies, academicians, and representatives of the pharmaceutical industry engaged in a discussion on the use of non-concurrent control in Master Protocols for oncology trials. While the use of non-concurrent control with the concurrent control may increase the power of detecting the therapeutic difference between a treatment and the control, the panelists had diverse opinion on the statistical approaches for modeling non-concurrent and concurrent controls. Some were more concerned about the temporality of the non-concurrent control and bias introduced by different confounders related to time, e.g., changes in standard of care, changes in patient population, changes in recruiting strategies, changes in assessment of endpoints. Nevertheless, in some situations such as when the recruitment is extremely challenging for a rare disease, the panelists concluded that the use of a non-concurrent control can be justified.
翻译:文章总结了美国统计协会生物药品(BIOP)公开论坛的讨论,该论坛于2020年12月10日举行,由美国食品发展局肿瘤科学统计方法工作组与美国林业发展局肿瘤学英才中心协调组织,由美国统计协会BIOP肿瘤学统计方法工作组组织。各利益相关方,包括来自国际监管机构的专家、学术界人士和制药业的代表,讨论了在肿瘤试验总协议中使用非流动控制的问题。同时控制的非流动控制可能会增加发现治疗与控制之间治疗差异的力量,但小组成员对模拟非流动和同时控制统计方法的统计方法持有不同看法。有些利益攸关方更关切非流动控制的时间性和不同联系者在时间方面引入的偏见,例如,护理标准的变化、病人人数的变化、招聘战略的变化、终点评估的变化。然而,在诸如招聘对罕见疾病具有极大挑战性的情况下,小组成员认为使用非流动控制是合理的。