样本量测定
星团(航天器)
统计
航程(航空)
整群随机对照试验
簇大小
样品(材料)
差异(会计)
统计能力
I类和II类错误
计算机科学
数学
医学
随机对照试验
物理
会计
外科
业务
复合材料
热力学
电子结构
材料科学
量子力学
程序设计语言
作者
Sander van Schie,Mirjam Moerbeek
摘要
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.
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