Controlling type I errors for two-stage bioequivalence study designs

A. Fuglsang
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引用次数: 8

Abstract

Recent publications have introduced sequential (two-stage) designs for investigation of bioequivalence in cross-over trials and the occurrence of type I errors have been investigated using trial simulations. They have so far focused on Test:Reference ratio of 0.95 and 0.9 and it has been observed that type I errors above 0.05 may occur. In this paper the behavior of two-stage designs for investigations of bioequivalence is being further investigated, and it is concluded that the existing methods do not universally control type I errors to an acceptable level, and they have the disadvantage of not using the observed Test:Reference from stage 1 in the dimensioning of stage 2. It is observed that type I errors and the alpha at the second stage follow an approximately linear relation in the region of type I errors of 0.05. This principle is used to propose a method that uses both the CV and Test:Reference ratio and which targets specifically a type I error level of 0.05. This is done by using simulation after stage 1 to identify an optimal value for the second alpha. An example is given which illustrates how the method may be associated with both an ethical and economical advantage.
控制两阶段生物等效性研究设计的I型错误
最近的出版物介绍了在交叉试验中研究生物等效性的顺序(两阶段)设计,并使用试验模拟研究了I型错误的发生。他们目前关注的是Test:Reference ratio为0.95和0.9,观察到可能会出现大于0.05的I型误差。本文对生物等效性研究的两阶段设计的行为进行了进一步的研究,得出的结论是,现有的方法不能普遍地将I型误差控制在可接受的水平,并且它们的缺点是在第二阶段的尺寸中没有使用第一阶段观察到的Test:Reference。可以看出,在I型误差为0.05的区域内,I型误差与第二阶段的alpha呈近似线性关系。这一原则用于提出一种方法,该方法使用CV和Test:Reference比率,并专门针对第一类误差水平0.05。这是通过在阶段1之后使用模拟来确定第二个alpha的最优值来完成的。给出了一个示例,说明如何将该方法与伦理和经济优势相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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