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Meta-Analysis of Multi-Arm Trials Using Empirical Logistic Transform

机译:基于经验逻辑变换的多臂试验的荟萃分析

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Meta-analysis of multi-arm trials has been used increasingly in recent years. The aim of meta-analysis for multi-arm trials is to combine evidence from all possible similar studies. In this paper we propose normal approximation models by using empirical logistic transform to compare different treatments in multi-arm trials, allowing studies of both direct and indirect comparisons. Additionally, a hierarchical structure is introduced in the models to address the problem of heterogeneity among different studies. The proposed models are performed using the data from 31 randomized clinical trials (RCTs) which determine the efficacy of antiplatelet therapy in maintaining vascular patency.
机译:近年来,多臂试验的荟萃分析越来越多地被使用。多臂试验的荟萃分析的目的是将所有可能的相似研究的证据结合起来。在本文中,我们通过经验对数变换提出了正常近似模型,以比较多臂试验中的不同治疗方法,从而可以进行直接和间接比较研究。此外,在模型中引入了层次结构,以解决不同研究之间的异质性问题。使用来自31个随机临床试验(RCT)的数据执行建议的模型,这些数据确定了抗血小板治疗维持血管通畅的功效。

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