Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development

Paola Di Carlo, Consolato Sergi, Teresa Rea, Nicola Serra

Risultato della ricerca: Articlepeer review

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 originaleEnglish
pagine (da-a)13059-13063
Numero di pagine5
RivistaEpidemiology Biostatistics and Public Health
Volume16
Stato di pubblicazionePublished - 2019

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.2700.2713???
  • ???subjectarea.asjc.2700.2719???
  • ???subjectarea.asjc.2900.2905???
  • ???subjectarea.asjc.2700.2739???

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