How to Set Delta in the Two-One-Sided T-tests Procedure (TOST)

Tom S Juzek, Johannes Kizach
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引用次数: 2

Abstract

The Two-One-Sided T-test procedure (TOST) is used to show that two samples are equivalent or similar, in contrast to classical statistical tests which check for dissimilarity. The TOST relies on a parameter called delta, which has to be set by the researcher using their intuition. Doing so can be difficult, because of complex interactions of relevant parameters. In this article we present a method to set delta, which is established and validated through extensive simulations based on real data sets from linguistics and other sciences. The presented method is shown to be sound and reliable, but we cannot exclude deviant early model behaviour (N≤10) and deviant late model behaviour (N>100,000).
如何在双单侧t检验程序(TOST)中设置Delta
双单侧t检验程序(TOST)用于显示两个样本是等效或相似的,与经典的统计检验不同,后者检查不相似性。TOST依赖于一个叫做delta的参数,这个参数必须由研究者用他们的直觉来设定。这样做可能很困难,因为相关参数之间存在复杂的相互作用。在本文中,我们提出了一种设置delta的方法,该方法通过基于语言学和其他科学的真实数据集的大量模拟来建立和验证。所提出的方法被证明是健全可靠的,但我们不能排除异常的早期模型行为(N≤10)和异常的晚期模型行为(N>100,000)。
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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