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Powerful Exact Unconditional Tests for Agreement between Two Raters with Binary Endpoints

机译:强大的精确无条件测试用于评估具有二进制端点的两个评估者之间的一致性

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摘要

Asymptotic and exact conditional approaches have often been used for testing agreement between two raters with binary outcomes. The exact conditional approach is guaranteed to respect the test size as compared to the traditionally used asymptotic approach based on the standardized Cohen's kappa coefficient. An alternative to the conditional approach is an unconditional strategy which relaxes the restriction of fixed marginal totals as in the conditional approach. Three exact unconditional hypothesis testing procedures are considered in this article: an approach based on maximization, an approach based on the conditional p-value and maximization, and an approach based on estimation and maximization. We compared these testing procedures based on the commonly used Cohen's kappa with regards to test size and power. We recommend the following two exact approaches for use in practice due to power advantages: the approach based on conditional p-value and maximization and the approach based on estimation and maximization.
机译:渐近和精确的条件方法通常用于测试具有二进制结果的两个评分者之间的一致性。与传统的基于标准化Cohen卡伯系数的渐近方法相比,确切的条件方法可确保尊重测试量。有条件方法的替代方法是无条件策略,它可以像有条件方法一样放宽对固定边际总数的限制。本文考虑了三种精确的无条件假设测试程序:基于最大化的方法,基于条件p值和最大化的方法以及基于估计和最大化的方法。我们比较了基于常用科恩kappa的测试程序和测试大小和功效。由于功率优势,我们建议以下两种确切的方法在实践中使用:基于条件p值和最大化的方法以及基于估计和最大化的方法。

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  • 年(卷),期 -1(9),5
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  • 总页数 7
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