Brumback Lyndia C, Pepe Margaret S, Alonzo Todd A
Department of Biostatistics, University of Washington, Box 357232, Seattle, Washington 98195-7232, USA.
Stat Med. 2006 Feb 28;25(4):575-90. doi: 10.1002/sim.2345.
Non-parametric procedures such as the Wilcoxon rank-sum test, or equivalently the Mann-Whitney test, are often used to analyse data from clinical trials. These procedures enable testing for treatment effect, but traditionally do not account for covariates. We adapt recently developed methods for receiver operating characteristic (ROC) curve regression analysis to extend the Mann-Whitney test to accommodate covariate adjustment and evaluation of effect modification. Our approach naturally extends use of the Mann-Whitney statistic in a fashion that is analogous to how linear models extend the t-test. We illustrate the methodology with data from clinical trials of a therapy for Cystic Fibrosis.
非参数检验方法，如 Wilcoxon 秩和检验（等同于 Mann-Whitney 检验），常用于分析来自临床试验的数据。这些检验方法能够对治疗效果进行检验，但传统上并未考虑协变量。我们采用最近开发的用于接受者操作特征（ROC）曲线回归分析的方法，对 Mann-Whitney 检验进行扩展，以纳入协变量调整和效应修饰评估。我们的方法以一种类似于线性模型扩展 t 检验的方式，自然地扩展了 Mann-Whitney 统计量的应用。我们用囊性纤维化治疗临床试验的数据来说明该方法。
