Population Health Sciences Institute, Newcastle, NE2 4AX, UK.
MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK.
BMC Cancer. 2020 Jan 31;20(1):80. doi: 10.1186/s12885-020-6525-0.
Multi-arm designs provide an effective means of evaluating several treatments within the same clinical trial. Given the large number of treatments now available for testing in many disease areas, it has been argued that their utilisation should increase. However, for any given clinical trial there are numerous possible multi-arm designs that could be used, and choosing between them can be a difficult task. This task is complicated further by a lack of available easy-to-use software for designing multi-arm trials.
To aid the wider implementation of multi-arm clinical trial designs, we have developed a web application for sample size calculation when using a variety of popular multiple comparison corrections. Furthermore, the application supports sample size calculation to control several varieties of power, as well as the determination of optimised arm-wise allocation ratios. It is built using the Shiny package in the R programming language, is free to access on any device with an internet browser, and requires no programming knowledge to use. It incorporates a variety of features to make it easier to use, including help boxes and warning messages. Using design parameters motivated by a recently completed phase II oncology trial, we demonstrate that the application can effectively determine and evaluate complex multi-arm trial designs.
The application provides the core information required by statisticians and clinicians to review the operating characteristics of a chosen multi-arm clinical trial design. The range of designs supported by the application is broader than other currently available software solutions. Its primary limitation, particularly from a regulatory agency point of view, is its lack of validation. However, we present an approach to efficiently confirming its results via simulation.
多臂设计为在同一项临床试验中评估多种治疗方法提供了一种有效手段。鉴于现在有大量的治疗方法可供许多疾病领域的测试,有人认为应该增加它们的使用。然而,对于任何给定的临床试验,都有许多可能的多臂设计可以使用,在它们之间进行选择可能是一项艰巨的任务。由于缺乏易于使用的多臂试验设计软件,这一任务变得更加复杂。
为了帮助更广泛地实施多臂临床试验设计,我们开发了一个用于使用各种流行的多重比较校正进行样本量计算的网络应用程序。此外,该应用程序还支持样本量计算以控制多种功效,以及确定优化的臂间分配比例。它是使用 R 编程语言中的 Shiny 包构建的,可以在任何带有互联网浏览器的设备上免费访问,并且无需编程知识即可使用。它包含了各种功能,使其更易于使用,包括帮助框和警告消息。我们使用最近完成的一项肿瘤学 II 期试验中的设计参数进行演示,表明该应用程序可以有效地确定和评估复杂的多臂试验设计。
该应用程序提供了统计学家和临床医生所需的核心信息,以审查所选多臂临床试验设计的操作特征。该应用程序支持的设计范围比其他现有的软件解决方案更广泛。它的主要局限性,特别是从监管机构的角度来看,是缺乏验证。然而,我们提出了一种通过模拟有效确认其结果的方法。