Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' Trial.

Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker 'N-of-1' Trial.
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DOI:
10.1162/99608f92.116c43fe
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发表时间:
2022
期刊:
Harvard data science review
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其他
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本文介绍了HDSR的“个性化(N-of-1)试验:方法,应用和影响”特刊,描述了个性化(N-of-1)试验的方法,数据类型和管理,设计和用例的基本原理。它解释说,个性化(N-of-1)试验的设计和实施只有在患者自愿参与涉及他们的研究并积极参与使用它们的临床服务时才有用。然而,“N-of-1试验”可能不是制定这种患者参与的适当名称。作者简要回顾了患者对“N-of-1”标签的报道,并为这种类型的研究和临床方法提出了一个更消费者友好的绰号,以改善循证科学。
This article, an introduction to HDSR’s “Personalized (N-of-1) Trials: Methods, Applications, and Impact” special issue, describes the rationale for a primer of the methods, data types and management, designs, and use cases for personalized (N-of-1) trials. It explains that the design and implementation of personalized (N-of-1) trials is only useful if patients volunteer for research involving them and actively participate in clinical services that use them. However, ‘N-of-1 trials’ may be an inadequate name to enact such patient engagement. The authors briefly review what patients have reported about the ‘N-of-1’ label and propose a more consumer-friendly moniker for this type of research and clinical approach to improve evidence-based science.