Abstract
Despite recommendations to the contrary, medical researchers still routinely use the Yates‐corrected chisquare statistic in analyses of 2 × 2 contingency tables. Research has shown that these ‘corrected’ statistics are overly conservative and that the conventional Pearson chi‐square generally provides adequate control over type I error probabilities. This paper makes a straightforward argument against use of Yates's correction for continuity and Fisher's exact probability test.
Original language | English |
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Pages (from-to) | 363-367 |
Number of pages | 5 |
Journal | Statistics in Medicine |
Volume | 9 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1990 |
ASJC Scopus Subject Areas
- Epidemiology
- Statistics and Probability