Graphing the Win Ratio and its components over time
Graphing the Win Ratio and its components over time
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DOI：
10.1002/sim.7895
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发表时间：
2019-01-15
影响因子：
2
通讯作者：
Schoenfeld, David A.
中科院分区：
文献类型：
--
作者：
Finkelstein, Dianne M.;Schoenfeld, David A.
临床试验通常旨在根据多种结果比较治疗。对于此类试验的治疗比较分析，1999年提出了Finkelstein-Schoenfeld检验，这是Gehan-Wilcoxon检验的推广，基于患者对主要结局（如可能）的成对比较，否则对次要结局的成对比较。在2012年，Pocock和他的同事们提出了一个基于这个概念的估计，赢比，它总结了实验组中表现更好与更差的患者数量的比例。然而，在2016年，奥克斯指出，赢比可能是试验随访时间分布的函数。本文的目的是提出一种方法来表示赢率图形化的方式，时间对估计的影响将是显而易见的。此外，这些方法还用于显示每个端点对复合的贡献。我们将这些方法应用于癌症、心脏病学和神经病学的临床试验。CRAN中有一个名为winRatioAnalysis的软件。
Clinical trials are often designed to compare treatments on the basis of multiple outcomes. For the analysis of the treatment comparison from such a trial, in 1999, the Finkelstein-Schoenfeld test was proposed, which was a generalization of the Gehan-Wilcoxon test based on pairwise comparison of patients on a primary outcome when possible but otherwise on a secondary outcome. In 2012, Pocock and colleagues suggested an estimate based on this concept, the Win Ratio, which summarized the ratio of the number of patients who fared better versus worse on the experimental arm. However, in 2016, Oakes noted that the Win Ratio could be a function of the distribution of follow-up times of the trial. The aim of this paper is to propose an approach to representing the Win Ratio graphically in such a way that the effect of time on the estimate would be apparent. In addition, the methods are used to display the contribution of each endpoint to the composite. We apply the methods to clinical trials in cancer, cardiology, and neurology. Software is available named winRatioAnalysis in CRAN.