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Sample size calculation for an agreement study.

机译:协议研究的样本量计算。

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摘要

It is often necessary to compare two measurement methods in medicine and other experimental sciences. This problem covers a broad range of data. Many authors have explored ways of assessing the agreement of two sets of measurements. However, there has been relatively little attention to the problem of determining sample size for designing an agreement study. In this paper, a method using the interval approach for concordance is proposed to calculate sample size in conducting an agreement study. The philosophy behind this is that the concordance is satisfied when no more than the pre-specified k discordances are found for a reasonable large sample size n since it is much easier to define a discordance pair. The goal here is to find such a reasonable large sample size n. The sample size calculation is based on two rates: the discordance rate and tolerance probability, which in turn can be used to quantify an agreement study. The proposed approach is demonstrated through a real data set.
机译:通常需要比较医学和其他实验科学中的两种测量方法。这个问题涵盖了广泛的数据。许多作者探索了评估两组测量值一致性的方法。但是,对于设计一致性研究确定样本量的问题几乎没有多少关注。本文提出了一种使用区间法进行一致性研究的方法来计算一致性研究中的样本量。其背后的原理是,对于合理的大样本量n,如果发现不超过预先指定的k个不一致,则可以满足一致,因为定义不一致对更加容易。这里的目标是找到一个合理的大样本量n。样本量的计算基于两个比率:不一致率和容忍率,它们又可以用于量化一致性研究。通过一个真实的数据集证明了所提出的方法。

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