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Randomization of Clusters Versus Randomization of Persons Within Clusters: Which Is Preferable?

机译:集群的随机性与集群中的人的随机性:哪个更可取?

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摘要

Many experiments aim at populations with persons nested within clusters. Randomization to treatment conditions can be done at the cluster level or at the person level within each cluster. The latter may result in control group contamination, and cluster randomization is therefore often preferred in practice. This article models the control group contamination, calculates the required sample sizes for both levels of randomization, and gives the degree of contamination for which cluster randomization is preferable above randomization of persons within clusters. Moreover, it provides examples of situations where one has to make a choice between both levels of randomization.
机译:许多实验针对的是将人们嵌套在集群中的人群。治疗条件的随机化可以在每个聚类的聚类水平或人的水平进行。后者可能导致对照组受到污染,因此在实践中通常更倾向于使用随机分组。本文对对照组污染进行了建模,计算了两个随机级别所需要的样本量,并给出了相对于集群中人员的随机性而言,集群随机性更可取的污染程度。此外,它提供了一些情况下必须在两个随机级别之间进行选择的情况的示例。

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