Suppr超能文献

了解研究方法:探索性剂量递增设计。

Understanding Research Methods: Up-and-down Designs for Dose-finding.

机构信息

Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington.

Anesthesia Services, Harborview Medical Center; Departments of Anesthesiology & Pain Medicine and Neurological Surgery, University of Washington, Seattle, Washington.

出版信息

Anesthesiology. 2022 Aug 1;137(2):137-150. doi: 10.1097/ALN.0000000000004282.

Abstract

For the task of estimating a target benchmark dose such as the ED50 (the dose that would be effective for half the population), an adaptive dose-finding design is more effective than the standard approach of treating equal numbers of patients at a set of equally spaced doses. Up-and-down is the most popular family of dose-finding designs and is in common use in anesthesiology. Despite its widespread use, many aspects of up-and-down are not well known, implementation is often misguided, and standard, up-to-date reference material about the design is very limited. This article provides an overview of up-and-down properties, recent methodologic developments, and practical recommendations, illustrated with the help of simulated examples. Additional reference material is offered in the Supplemental Digital Content.

摘要

对于估计目标基准剂量(例如 ED50,即对一半人群有效的剂量)等任务,自适应剂量探索设计比标准方法更有效,标准方法是在一组等距剂量下治疗相等数量的患者。上下法是最受欢迎的剂量探索设计家族,在麻醉学中广泛使用。尽管它被广泛使用,但上下法的许多方面并不为人所知,实施往往存在误导,并且关于该设计的标准、最新参考资料非常有限。本文通过模拟示例提供了上下法特性、最近的方法学发展和实用建议的概述。补充数字内容中提供了其他参考资料。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验