在随机对照试验中利用外部数据的倾向得分整合方法,以时间为终点。

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Wei-Chen Chen, Nelson Lu, Chenguang Wang, Heng Li, Changhong Song, Ram Tiwari, Yunling Xu, Lilly Q Yue
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引用次数: 0

摘要

在以时间为终点的随机对照试验中,一些常用的检验生存差异的统计检验方法,如固定时间点的生存概率、特定时间点前的生存函数和受限平均生存时间等,可能无法直接适用于利用外部数据扩充随机对照试验的一个臂(或两个臂)的情况。在本文中,我们提出了一种倾向得分整合方法,以便在利用外部数据时扩展此类检验。本文进行了模拟研究,以评估三种倾向得分整合统计检验的运行特征,并给出了一个示例来说明如何实施这些建议的程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A propensity score-integrated approach for leveraging external data in a randomized controlled trial with time-to-event endpoints.

In a randomized controlled trial with time-to-event endpoint, some commonly used statistical tests to test for various aspects of survival differences, such as survival probability at a fixed time point, survival function up to a specific time point, and restricted mean survival time, may not be directly applicable when external data are leveraged to augment an arm (or both arms) of an RCT. In this paper, we propose a propensity score-integrated approach to extend such tests when external data are leveraged. Simulation studies are conducted to evaluate the operating characteristics of three propensity score-integrated statistical tests, and an illustrative example is given to demonstrate how these proposed procedures can be implemented.

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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
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