Multi-Arm Multi-Stage (MAMS) platform trials are an efficient tool for the comparison of several treatments. Suppose we wish to add a treatment to a trial already in progress, to access the benefits of a MAMS design. How should this be done? The MAMS framework requires pre-planned options for how the trial proceeds at each stage in order to control the family-wise error rate. Thus, it is difficult to make both planned and unplanned design modifications. The conditional error approach is a tool that allows unplanned design modifications while maintaining the overall error rate. In this work, we use the conditional error approach to allow adding new arms to a MAMS trial in progress. We demonstrate the principles of incorporating additional hypotheses into the testing structure. Using this framework, we show how to update the testing procedure for a MAMS trial in progress to incorporate additional treatment arms. Simulations illustrate the possible operating characteristics of such procedures using a fixed rule for how and when the design modification is made.
翻译:多Arm多系统平台试验是比较若干处理方法的有效工具。 假设我们希望在已经进行的试验中增加一种处理方法, 以获得MAMS设计的好处。 如何做到这一点? MAMS框架要求每个阶段试验的预设选项, 以便控制家庭误差率。 因此, 很难进行有计划和无计划的设计修改。 有条件错误方法是一种允许在维持总体误差率的同时进行意外设计修改的工具。 在这项工作中, 我们使用有条件错误方法允许在正在进行的MAMS试验中添加新武器。 我们展示了将更多假设纳入测试结构的原则。 我们使用这个框架, 展示如何更新正在进行的MAMS试验的测试程序, 以纳入更多的处理武器。 模拟用固定规则来说明这类程序可能的操作特点, 包括如何和何时进行设计修改。