Suppr超能文献

重新加权估计值以扩大临床试验的外部有效性:方法学考虑。

Reweighting estimators to extend the external validity of clinical trials: methodological considerations.

机构信息

Department of Statistics, Ohio State University, Columbus, Ohio, USA.

FSP Biometrics, Syneos Health, Toronto, Ontario, Canada.

出版信息

J Biopharm Stat. 2023 Sep 3;33(5):515-543. doi: 10.1080/10543406.2022.2162067. Epub 2023 Jan 23.

Abstract

Methods to extend the strong internal validity of randomized controlled trials to reliably estimate treatment effects in target populations are gaining attention. This paper enumerates steps recommended for undertaking such extended inference, discusses currently viable choices for each one, and provides recommendations. We demonstrate a complete extended inference from a clinical trial studying a pharmaceutical treatment for Alzheimer's disease (AD) to a realistic target population of European residents diagnosed with AD. This case study highlights approaches to overcoming practical difficulties and demonstrates limitations of reliably extending inference from a trial to a real-world population.

摘要

将随机对照试验的强内部有效性扩展到可靠估计目标人群的治疗效果的方法正受到关注。本文列举了开展此类扩展推断所建议的步骤,讨论了每一步目前可行的选择,并提供了建议。我们从一项研究阿尔茨海默病(AD)药物治疗的临床试验中进行了完整的扩展推断,将其推广到了真实的欧洲 AD 患者目标人群。这个案例研究强调了克服实际困难的方法,并说明了从试验可靠地推广到真实人群的推断的局限性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验