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三臂试验中具有二分类结局的同时评估检测灵敏度非劣效性的可信区间。

Simultaneous confidence interval for assessing non-inferiority with assay sensitivity in a three-arm trial with binary endpoints.

机构信息

Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, People's Republic of China.

出版信息

Pharm Stat. 2020 Sep;19(5):518-531. doi: 10.1002/pst.2010. Epub 2020 Feb 29.

Abstract

A three-arm trial including an experimental treatment, an active reference treatment and a placebo is often used to assess the non-inferiority (NI) with assay sensitivity of an experimental treatment. Various hypothesis-test-based approaches via a fraction or pre-specified margin have been proposed to assess the NI with assay sensitivity in a three-arm trial. There is little work done on confidence interval in a three-arm trial. This paper develops a hybrid approach to construct simultaneous confidence interval for assessing NI and assay sensitivity in a three-arm trial. For comparison, we present normal-approximation-based and bootstrap-resampling-based simultaneous confidence intervals. Simulation studies evidence that the hybrid approach with the Wilson score statistic performs better than other approaches in terms of empirical coverage probability and mesial-non-coverage probability. An example is used to illustrate the proposed approaches.

摘要

一项包含实验治疗、活性参照治疗和安慰剂的三臂试验通常用于评估实验治疗的非劣效性(NI)和检测敏感性。已经提出了各种基于假设检验的方法,通过分数或预定的边界来评估三臂试验中的 NI 和检测敏感性。在三臂试验中,很少有关于置信区间的工作。本文提出了一种混合方法,用于构建三臂试验中评估 NI 和检测敏感性的同时置信区间。为了进行比较,我们提出了基于正态逼近和基于自举重抽样的同时置信区间。模拟研究表明,基于威尔逊得分统计量的混合方法在经验覆盖概率和中值非覆盖概率方面优于其他方法。通过一个实例来说明所提出的方法。

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