文章基本信息

标题：Continuity correction of Pearson’s chi-square test in 2x2 Contingency Tables: A mini-review on recent development
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作者：Nicola Serra ; Teresa Rea ; Paola Di Carlo 等
期刊名称：Epidemiology, Biostatistics and Public Health
印刷版ISSN：2282-0930
出版年度：2019
卷号：16
期号：2
页码：1-4
DOI：10.2427/13059
出版社：PREX
摘要：The Pearson’s chi-square test represents a nonparametric test more used in Biomedicine and Social Sciences, but it introduces an error for 2x2 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.
关键词：Pearson’s x2 statistic; continuity correction; 2x2 contingency table; Yates’s continuity correction; Serra’s continuity correction
其他关键词：Pearson’s x2 statistic; continuity correction; 2x2 contingency table; Yates’s continuity correction;Serra’s continuity correction