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在集群内进行积极招募的整群随机试验中重新估计样本量。

Re-estimating sample size in cluster randomised trials with active recruitment within clusters.

作者信息

van Schie S, Moerbeek M

机构信息

Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.

出版信息

Stat Med. 2014 Aug 30;33(19):3253-68. doi: 10.1002/sim.6172. Epub 2014 Apr 9.

Abstract

Often only a limited number of clusters can be obtained in cluster randomised trials, although many potential participants can be recruited within each cluster. Thus, active recruitment is feasible within the clusters. To obtain an efficient sample size in a cluster randomised trial, the cluster level and individual level variance should be known before the study starts, but this is often not the case. We suggest using an internal pilot study design to address this problem of unknown variances. A pilot can be useful to re-estimate the variances and re-calculate the sample size during the trial. Using simulated data, it is shown that an initially low or high power can be adjusted using an internal pilot with the type I error rate remaining within an acceptable range. The intracluster correlation coefficient can be re-estimated with more precision, which has a positive effect on the sample size. We conclude that an internal pilot study design may be used if active recruitment is feasible within a limited number of clusters.

摘要

在整群随机试验中,通常只能获得有限数量的群组,尽管在每个群组内可以招募许多潜在参与者。因此,在群组内进行积极招募是可行的。为了在整群随机试验中获得有效的样本量,在研究开始前应知道群组水平和个体水平的方差,但情况往往并非如此。我们建议使用内部预试验设计来解决方差未知的问题。预试验有助于在试验期间重新估计方差并重新计算样本量。通过模拟数据表明,使用内部预试验可以调整最初较低或较高的检验效能,同时使I型错误率保持在可接受范围内。可以更精确地重新估计组内相关系数,这对样本量有积极影响。我们得出结论,如果在有限数量的群组内进行积极招募是可行的,那么可以使用内部预试验设计。

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