6533b859fe1ef96bd12b81ce
RESEARCH PRODUCT
Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development
Paola Di CarloNicola SerraConsolato SergiTeresa Reasubject
Contingency tablelcsh:R5-920statisticlcsh:Public aspects of medicine2x2 contingency tableNonparametric statistics2Continuity correctionlcsh:RA1-1270Pearson’s xSettore MED/42 - Igiene Generale E ApplicataYates’s continuity correctionMini reviewTest (assessment)Settore MED/01 - Statistica Medica2x2 contingency table Pearson’s xSerra’s continuity correctionContinuity correctionStatisticsChi-square testProbability distributionlcsh:Medicine (General)Pearson’s x2 statisticStatisticMathematicsdescription
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. Key words: Pearson’s x2 statistic; continuity correction; 2x2 contingency table; Yates’s continuity correction, Serra’s continuity correction
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2022-02-07 |