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

Research output: Contribution to journalArticlepeer-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.
Original languageEnglish
Pages (from-to)13059-13063
Number of pages5
JournalEpidemiology Biostatistics and Public Health
Volume16
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Health Policy
  • Community and Home Care
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Continuity correction of pearson’s chi-square test in 2x2 contingency tables: A mini-review on recent development'. Together they form a unique fingerprint.

Cite this