邦费罗尼校正
外观
邦费罗尼校正(英語:Bonferroni correction)是统计学中在多重比较时使用的一种校正方法,以意大利数学家卡罗·埃米利奥·邦费罗尼的名字命名。
令为一组假设,为每一假设相对应的p值。同时,为零假设总数,则为实际为真的零假设总数。族错误率(familywise error rate,简称FWER)指拒绝至少一个实际为真的零假设(即出现至少一次第一类错误)的概率。此时,邦费罗尼校正是指拒绝所有的零假设。在应用邦费罗尼校正后,FWER满足。这一结论可以由布尔不等式证明:
邦费罗尼校正是一种相对保守的FWER控制方法,会增加出现第二类错误的概率。
参考文献
[编辑]- Dunnett, C. W. A multiple comparisons procedure for comparing several treatments with a control. Journal of the American Statistical Association. 1955, 50 (272): 1096–1121. doi:10.1080/01621459.1955.10501294.
- Dunnett, C. W. New tables for multiple comparisons with a control. Biometrics. 1964, 20 (3): 482–491. JSTOR 2528490. doi:10.2307/2528490.
- Shaffer, J. P. Multiple Hypothesis Testing. Annual Review of Psychology. 1995, 46: 561–584. doi:10.1146/annurev.ps.46.020195.003021.
- Strassburger, K.; Bretz, Frank. Compatible simultaneous lower confidence bounds for the Holm procedure and other Bonferroni-based closed tests. Statistics in Medicine. 2008, 27 (24): 4914–4927. doi:10.1002/sim.3338.
- Šidák, Z. Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association. 1967, 62 (318): 626–633. doi:10.1080/01621459.1967.10482935.
- Hochberg, Yosef. A Sharper Bonferroni Procedure for Multiple Tests of Significance (PDF). Biometrika. 1988, 75 (4): 800–802 [2017-02-01]. doi:10.1093/biomet/75.4.800. (原始内容存档 (PDF)于2016-10-12).