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基于曼-惠特尼统计量的效应量测量的置信区间。第2部分:渐近方法与评估。

Confidence intervals for an effect size measure based on the Mann-Whitney statistic. Part 2: asymptotic methods and evaluation.

作者信息

Newcombe Robert G

机构信息

Department of Epidemiology, Statistics and Public Health, Wales College of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, UK.

出版信息

Stat Med. 2006 Feb 28;25(4):559-73. doi: 10.1002/sim.2324.

Abstract

Several asymptotic confidence interval methods for U/mn, the Mann-Whitney U statistic divided by the product of the two sample sizes, are developed and evaluated alongside published methods. Novel methods derived from Gaussian and beta models perform well, though overall a modification of the Hanley-McNeil approach (method 5 in this evaluation) performed better and is recommended for calculating confidence intervals for U/mn for continuously distributed data.

摘要

本文开发并评估了几种用于计算U/mn(即曼-惠特尼U统计量除以两个样本量的乘积)的渐近置信区间方法,并与已发表的方法进行了对比。源自高斯模型和贝塔模型的新方法表现良好,不过总体而言,对汉利-麦克尼尔方法(本评估中的方法5)的一种改进方法表现更佳,建议用于计算连续分布数据的U/mn的置信区间。

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