Challenges of cluster randomized trials

被引：0

作者：

Campbell, Michael J. ^{[1
]}

机构：

[1] Univ Sheffield, ScHARR, Med Stat Grp, Sheffield S1 4DA, S Yorkshire, England

来源：

JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH | 2014年 / 3卷 / 03期

关键词：

cluster randomized trials; covariate adjustment; ethics; missing data; recruitment bias; sample size; stepped wedge; MISSING BINARY OUTCOMES; IMPUTATION STRATEGIES; SAMPLE-SIZE; DESIGN; CARE; REDUCE; INTERVENTION; COEFFICIENT; EXTENSION; CONSORT;

D O I：

10.2217/CER.14.21

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

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.

引用

页码：271 / 281

页数：11

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