Recommended confidence intervals for two independent binomial proportions
Recommended confidence intervals for two independent binomial proportions
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DOI：
10.1177/0962280211415469
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发表时间：
2015-04-01
影响因子：
2.3
通讯作者：
Laake, Petter
中科院分区：
文献类型：
--
作者：
Fagerland, Morten W.;Lydersen, Stian;Laake, Petter
两个独立的二项比例之间的关系通常使用比例之间的差异、需要治疗的数量、比例比或比值比进行估计和呈现。有几种不同的置信区间，但它们可能产生明显不同的结果。一些传统的方法，如Wald区间的比例之间的差异和Katz对数区间的比例的比例，不执行，除非样本量很大。更好的间隔是可用的。本文描述并比较了近似和精确置信区间，这些置信区间（有一个例外）易于计算或可在通用软件包中获得。我们说明了性能的时间间隔，并提出建议，为小，中，大样本量。
The relationship between two independent binomial proportions is commonly estimated and presented using the difference between proportions, the number needed to treat, the ratio of proportions or the odds ratio. Several different confidence intervals are available, but they can produce markedly different results. Some of the traditional approaches, such as the Wald interval for the difference between proportions and the Katz log interval for the ratio of proportions, do not perform well unless the sample size is large. Better intervals are available. This article describes and compares approximate and exact confidence intervals that are - with one exception - easy to calculate or available in common software packages. We illustrate the performances of the intervals and make recommendations for both small and moderate-to-large sample sizes.