Donner Allan, Zou Guangyong
Department of Epidemiology and Biostatistics, University of Western Ontario, London, Canada.
Biometrics. 2002 Mar;58(1):209-15. doi: 10.1111/j.0006-341x.2002.00209.x.
Model-based inference procedures for the kappa statistic have developed rapidly over the last decade. However, no method has yet been developed for constructing a confidence interval about a difference between independent kappa statistics that is valid in samples of small to moderate size. In this article, we propose and evaluate two such methods based on an idea proposed by Newcombe (1998, Statistics in Medicine, 17, 873-890) for constructing a confidence interval for a difference between independent proportions. The methods are shown to provide very satisfactory results in sample sizes as small as 25 subjects per group. Sample size requirements that achieve a prespecified expected width for a confidence interval about a difference of kappa statistic are also presented.
在过去十年中，基于模型的kappa统计推断程序发展迅速。然而，尚未开发出一种方法来构建关于独立kappa统计量之间差异的置信区间，该区间在中小规模样本中是有效的。在本文中，我们基于纽科姆（1998年，《医学统计学》，17卷，873 - 890页）提出的关于构建独立比例之间差异的置信区间的想法，提出并评估了两种这样的方法。结果表明，这些方法在每组仅25名受试者的小样本量情况下也能提供非常令人满意的结果。本文还给出了为达到关于kappa统计量差异的置信区间的预定预期宽度所需的样本量要求。
