Sample size calculation for an agreement study
Sample size calculation for an agreement study
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DOI：
10.1002/pst.382
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发表时间：
2010-04-01
影响因子：
1.5
通讯作者：
Liao, Jason J. Z.
中科院分区：
文献类型：
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作者：
Liao, Jason J. Z.
在医学和其他实验科学中，经常需要比较两种测量方法。这一问题涉及广泛的数据。许多作者已经探索了评估两组测量结果一致性的方法。然而，对于设计一致性研究时确定样本量的问题，关注相对较少。本文提出了一种用区间一致性方法计算一致性研究样本量的方法。这背后的理念是，当对于合理的大样本量n发现不超过预先规定的k个不一致性时，一致性得到满足，因为定义不一致性对要容易得多。这里的目标是找到这样一个合理的大样本量n。样本量计算基于两个比率：不一致率和容许概率，这反过来又可用于量化一致性研究。所提出的方法是通过一个真实的数据集证明。版权所有（C）2009约翰威利父子有限公司
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. Copyright (C) 2009 John Wiley & Sons, Ltd.