有序分类数据的 Wilcoxon-Mann-Whitney 检验的大小和功效估计。

Size and power estimation for the Wilcoxon-Mann-Whitney test for ordered categorical data.

机构信息

14 Cambridge Center, Cambridge, MA 02142, USA.

出版信息

Stat Med. 2011 Dec 20;30(29):3461-70. doi: 10.1002/sim.4407. Epub 2011 Nov 15.

PMID:22086799

Abstract

We derive an exact variance method for the size and power calculation for the Wilcoxon-Mann-Whitney test for ordered categorical data. The O'Brien-Castelloe approximation implemented in SAS version 9.2 (SAS Institute Inc., Cary, NC, USA) is simplified. Simulation studies show that the exact variance approach tends to be more accurate than the O'Brien-Castelloe approximation and the Zhao-Rahardja-Qu method derived under local alternatives.

摘要

我们推导出一种用于有序分类数据的 Wilcoxon-Mann-Whitney 检验的大小和功效的精确方差方法。简化了 SAS 版本 9.2 中实现的 O'Brien-Castelloe 逼近法（SAS Institute Inc.，Cary，NC，美国）。模拟研究表明，精确方差方法比局部替代下推导的 O'Brien-Castelloe 逼近法和 Zhao-Rahardja-Qu 方法更准确。