Fagerland Morten W, Lydersen Stian, Laake Petter
Unit of Biostatistics and Epidemiology, Oslo University Hospital, Norway.
Stat Med. 2014 Jul 20;33(16):2850-75. doi: 10.1002/sim.6148. Epub 2014 Mar 20.
We describe, evaluate, and recommend statistical methods for the analysis of paired binomial proportions. A total of 24 methods are considered. The best tests for association include the asymptotic McNemar test and the McNemar mid- p test. For the difference between proportions, we recommend two simple confidence intervals with closed-form expressions and the asymptotic score interval. The asymptotic score interval is also recommended for the ratio of proportions, as is an interval with closed-form expression based on combining two Wilson score intervals for the single proportion. For the odds ratio, we recommend a transformation of the Wilson score interval and a transformation of the Clopper-Pearson mid- p interval. We illustrate the practical application of the methods using data from a recently published study of airway reactivity in children before and after stem cell transplantation and a matched case-control study of the association between floppy eyelid syndrome and obstructive sleep apnea-hypopnea syndrome.
我们描述、评估并推荐用于分析配对二项比例的统计方法。共考虑了24种方法。用于关联性分析的最佳检验方法包括渐近McNemar检验和McNemar中p值检验。对于比例差异,我们推荐两种具有封闭形式表达式的简单置信区间以及渐近得分区间。对于比例之比,也推荐使用渐近得分区间,以及基于合并两个单比例的Wilson得分区间而得到的具有封闭形式表达式的区间。对于比值比,我们推荐Wilson得分区间的一种变换以及Clopper-Pearson中p值区间的一种变换。我们使用最近发表的一项关于儿童干细胞移植前后气道反应性的研究数据以及一项关于眼睑松弛综合征与阻塞性睡眠呼吸暂停低通气综合征之间关联的匹配病例对照研究数据来说明这些方法的实际应用。