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用于确定有序分类数据治疗之间非劣效性的检验统计量和置信区间。

Test Statistics and Confidence Intervals to Establish Noninferiority between Treatments with Ordinal Categorical Data.

作者信息

Zhang Fanghong, Miyaoka Etsuo, Huang Fuping, Tanaka Yutaka

机构信息

a Biomedical Data Sciences Department , GlaxoSmithKline K.K. , Tokyo , Japan.

出版信息

J Biopharm Stat. 2015;25(5):921-38. doi: 10.1080/10543406.2014.920865. Epub 2014 Jun 11.

Abstract

The problem for establishing noninferiority is discussed between a new treatment and a standard (control) treatment with ordinal categorical data. A measure of treatment effect is used and a method of specifying noninferiority margin for the measure is provided. Two Z-type test statistics are proposed where the estimation of variance is constructed under the shifted null hypothesis using U-statistics. Furthermore, the confidence interval and the sample size formula are given based on the proposed test statistics. The proposed procedure is applied to a dataset from a clinical trial. A simulation study is conducted to compare the performance of the proposed test statistics with that of the existing ones, and the results show that the proposed test statistics are better in terms of the deviation from nominal level and the power.

摘要

针对有序分类数据,讨论了新治疗方法与标准(对照)治疗方法之间建立非劣效性的问题。使用了一种治疗效果度量,并提供了为该度量指定非劣效性界值的方法。提出了两个Z型检验统计量,其中方差估计是在平移零假设下使用U统计量构建的。此外,基于所提出的检验统计量给出了置信区间和样本量公式。将所提出的方法应用于一项临床试验的数据集。进行了一项模拟研究,以比较所提出的检验统计量与现有检验统计量的性能,结果表明,在所提出的检验统计量在偏离名义水平和检验功效方面表现更好。

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