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Continuity correction of Pearson’s chi-square test in 2x2 Contingency Tables: A mini-review on recent development

机译:在2x2列联表中对Pearson卡方检验的连续性校正:近期发展的简要回顾

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The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sciences, but it introduces an error for 2 x 2 contingency tables, when a discrete probability distribution is approximated with a continuous distribution. The first author to introduce the continuity correction of Pearson’s chi-square test has been Yates F. (1934). Unfortunately, Yates’s correction may tend to overcorrect of p-value, this can implicate an overly conservative result. Therefore many authors have introduced variants Pearson’s chi-square statistic, as alternative continuity correction to Yates’s correction. The goal of this paper is to describe the most recent continuity corrections, proposed for Pearson’s chi-square test.
机译:皮尔逊(Pearson)的卡方检验代表了一种在生物医学和社会科学中更常用的非参数检验,但是当离散概率分布与连续分布近似时,它引入了2 x 2列联表的误差。 Yates F.(1934)是第一位介绍皮尔逊卡方检验连续性校正的作者。不幸的是,耶茨(Yates)的校正可能会过度校正p值,这可能暗示过于保守的结果。因此,许多作者引入了变体Pearson的卡方统计量,作为Yates校正的替代连续性校正。本文的目的是描述针对皮尔森卡方检验提出的最新连续性校正。

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