Автор |
Overall, John E. |
Автор |
Starbuck, Robert R. |
Дата выпуска |
1983 |
dc.description |
A binomial model is proposed for testing the significance of differences in binary response probabilities in two independent treatment groups. Without correction for continuity, the binomial statistic is essentially equivalent to Fisher's exact probability. With correction for continuity, the binomial statistic approaches Pearson's chi-square. Due to mutual dependence of the binomial and F distributions on the beta distribution, a simple F statistic can be used for computation instead of the binomial. |
Издатель |
Sage Publications |
Тема |
2×2 table |
Тема |
Binomial test |
Тема |
Continuity correction |
Тема |
Homogeneity test |
Название |
F-Test Alternatives to Fisher's Exact Test and to the Chi-Square Test of Homogeneity in 2 × 2 Tables |
Тип |
Research Article |
DOI |
10.3102/10769986008001059 |
Print ISSN |
1076-9986 |
Журнал |
Journal of Educational Statistics |
Том |
8 |
Первая страница |
59 |
Последняя страница |
73 |
Аффилиация |
Overall, John E., University of Texas Medical School, Houston |
Аффилиация |
Starbuck, Robert R., Burroughs-Wellcome Co. Research Triangle Park, N.C |
Выпуск |
1 |
Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
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Библиографическая ссылка |
Overall, JE (1980). Continuity correction for Fisher's exact probability test. Journal of Educational Statistics, 5, 177-190. |
Библиографическая ссылка |
Tocher, KD (1950). Extension of the Neyman-Pearson theory of tests to discontinuous variates. Biometrika, 27, 130-144. |