方法对比
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| 麦克尼马尔检验× | 精确二项检验× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族≠ | Hypothesis test | Regression model |
| 起源年份≠ | 1947 | 1988 |
| 提出者≠ | Quinn McNemar | Classical exact test; textbook treatment by Siegel & Castellan |
| 类型≠ | Nonparametric test for paired binary data | Exact one-sample test for a proportion |
| 开创性文献≠ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ | Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574 |
| 别名 | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi | exact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi |
| 相关≠ | 5 | 2 |
| 摘要≠ | McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes. | The exact binomial test checks whether the observed number of successes in a fixed number of independent trials is consistent with a pre-specified success probability p₀. Because it computes exact binomial tail probabilities rather than relying on a normal approximation, it is the gold standard for testing a proportion in small samples; this two-sided formulation follows Siegel & Castellan's classic treatment (1988). |
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