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EnglishThe 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.
Serra N., Rea T., DI Carlo P, & Sergi C. (2019). Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development. EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH, 16(2), 13059-13063.
| Data di pubblicazione: | 2019 | |
| Titolo: | Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development | |
| Autori: | ||
| Citazione: | Serra N., Rea T., DI Carlo P, & Sergi C. (2019). Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development. EPIDEMIOLOGY BIOSTATISTICS AND PUBLIC HEALTH, 16(2), 13059-13063. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.2427/13059 | |
| 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. | |
| Settore Scientifico Disciplinare: | Settore MED/01 - Statistica Medica Settore MED/42 - Igiene Generale E Applicata | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/10447/433559
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