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[疫苗临床试验中的创新设计与统计考量]

[Innovative design and statistical considerations in vaccine clinical trials].

作者信息

Sun F Y, Liu W, Ding S J, Yan F R, Wang J, Peng Z H

机构信息

Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China Center for Drug Evaluation of the National Medical Products Administration, Beijing 100076, China.

Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.

出版信息

Zhonghua Yu Fang Yi Xue Za Zhi. 2025 Feb 6;59(2):254-259. doi: 10.3760/cma.j.cn112150-20240228-00163.

Abstract

In recent decades, the global community has encountered several significant viral outbreaks, including the Ebola epidemic in West Africa, the Zika virus epidemic in South America, and the recent worldwide COVID-19 pandemic. In these instances, the deployment of effective vaccines has been instrumental in protecting public health. Nevertheless, as new challenges emerge in the prevention and management of infectious diseases, the traditional model of global vaccine development confronts both unprecedented opportunities and challenges. These circumstances underscore the limitations inherent in conventional vaccine development, particularly the protracted timelines and substantial costs involved. This article examines innovative approaches in contemporary vaccine clinical trials, investigates randomization techniques specific to vaccine studies, and delineates essential statistical considerations pertinent to vaccine trial design. The objective is to provide scientific support for vaccine development and to foster ongoing innovation and optimization within the realm of vaccine research and development.

摘要

近几十年来,全球社会遭遇了几次重大的病毒爆发,包括西非的埃博拉疫情、南美的寨卡病毒疫情以及近期全球范围的新冠肺炎大流行。在这些情况下,有效疫苗的部署对保护公众健康起到了重要作用。然而,随着传染病预防和管理中出现新的挑战,全球疫苗研发的传统模式面临着前所未有的机遇和挑战。这些情况凸显了传统疫苗研发固有的局限性,特别是漫长的时间线和高昂的成本。本文探讨了当代疫苗临床试验中的创新方法,研究了疫苗研究特有的随机化技术,并阐述了与疫苗试验设计相关的重要统计考量。目的是为疫苗研发提供科学支持,并促进疫苗研发领域的持续创新和优化。

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