Abstract
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.
Lingua originale | English |
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pagine (da-a) | 13059-13063 |
Numero di pagine | 5 |
Rivista | Epidemiology Biostatistics and Public Health |
Volume | 16 |
Stato di pubblicazione | Published - 2019 |
All Science Journal Classification (ASJC) codes
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- ???subjectarea.asjc.2700.2719???
- ???subjectarea.asjc.2900.2905???
- ???subjectarea.asjc.2700.2739???