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http://dx.doi.org/10.5351/KJAS.2014.27.5.833

Nonparametric Method for a Non-inferiority Test using Confidence Interval  

Park, Sujung (Department of Biomedicine.health science, The Catholic University of Korea)
Kim, Dongjae (Department of Biomedicine.health science, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.5, 2014 , pp. 833-842 More about this Journal
Abstract
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.
Keywords
Non-inferiority trial; confidence interval; Wilcoxon rank-sum test; Hodges-Lehmann estimator;
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Times Cited By KSCI : 1  (Citation Analysis)
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