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整群随机试验的挑战。

Challenges of cluster randomized trials.

作者信息

Campbell Michael J

机构信息

Medical Statistics Group, ScHARR, University of Sheffield, S1 4DA, UK.

出版信息

J Comp Eff Res. 2014 May;3(3):271-81. doi: 10.2217/cer.14.21.

DOI:10.2217/cer.14.21
PMID:24969154
Abstract

Cluster randomized trials are trials that randomize clusters of people, rather than individuals. They are becoming increasingly common. A number of innovations have been developed recently, particularly in the calculation of the required size of a cluster trial, the handling of missing data, designs to minimize recruitment bias, the ethics of cluster randomized trials and the stepped wedge design. This article will highlight and illustrate these developments. It will also discuss issues with regards to the reporting of cluster randomized trials.

摘要

整群随机试验是将人群分组而不是个体进行随机分组的试验。它们正变得越来越普遍。最近已经开发出了一些创新方法,特别是在整群试验所需样本量的计算、缺失数据的处理、最小化招募偏倚的设计、整群随机试验的伦理学以及阶梯楔形设计方面。本文将重点介绍并阐述这些进展。它还将讨论整群随机试验报告方面的问题。

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