Nonparametric Method for a Non-inferiority Test using Confidence Interval

被引：1

作者：

Park, Sujung ^{[1
]}

Kim, Dongjae ^{[1
]}

机构：

[1] Catholic Univ Korea, Dept Biomed Hlth Sci, 222 Banpo Daero, Seoul 137701, South Korea

来源：

KOREAN JOURNAL OF APPLIED STATISTICS | 2014年 / 27卷 / 05期

关键词：

Non-inferiority trial; confidence interval; Wilcoxon rank-sum test; Hodges-Lehmann estimator;

D O I：

10.5351/KJAS.2014.27.5.833

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Non-inferiority trials indicate whether the effect of an experimental treatment is not worse than an active control. Chen et al. (2006) and Kang (2010) proposed a test method for non-inferiority trials using confidence intervals. In this paper, we suggest a new nonparametric method using a confidence interval based on Wilcoxon rank-sum test and Hodges-Lehmann estimator of active control. A Monte-Carlo simulation study compares the type I error and the power of the proposed method with previous methods.

引用

页码：833 / 842

页数：10

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