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整群随机试验的设计、统计分析方法及应用 被引量:2

Cluster Randomized Trials: Design, Statistical Analysis Methods and Application
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摘要 整群随机试验设计是复杂干预的常见方案,本文主要介绍了整群随机试验的定义、常见的设计方案(完全随机化和限制性随机化,如分层随机化和匹配随机化)及其分析方法(一般统计分析方法,混合效应模型/多水平模型);另外还介绍了整群随机试验的样本量估计、结果报告的一些注意事项及整群随机试验在临床、社区研究中的应用。 Cluster randomized trial(CRT) is one of the most common design for complex intervention. This paper mainly introduced: the definition of CRT, two designs of CRT including the completely randomization and the restricted randomization(such as stratified randomization and matching randomization), and the statistical analysis methods(such as the general statistical analysis and mixed effect model/multi-level model). This paper also introduced how to estimate the sample size of a CRT, how to report a CRT, and how to apply it into a clinical or community study.
作者 陈新林 莫传伟 徐谦 刘凤斌 侯政昆 丘振文 李先涛 CHEN Xin-lin, MO Chuan-wei, XU Qian, LIU Feng-bin, HOU Zheng-kun, QIU Zhen-wen, LI Xian-tao(1. Basic Medical College, Guangzhou University of Chinese Medicine, Guangzhou,510006, China; 2. The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou,510405, China)
出处 《中国循证医学杂志》 CSCD 2015年第6期741-744,共4页 Chinese Journal of Evidence-based Medicine
基金 国家自然科学基金课题(编号:81403296) 广州中医药大学“薪火计划”(编号:XH20140105) 公益性行业科研专项项目(编号:201207005)
关键词 整群随机试验 设计 统计分析 应用 混合效应模型 Cluster randomized trial Design Statistical analysis Application Mixed effect model
作者简介 陈新林,男(1981年~),副教授,以医学统计和流行病学为主要研究方向。Email:chenxlsums@126.com 通讯作者,Email:lixiantao@gzucm.edu.cn
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