平衡站点的数量和大小:集群样本优化设计的经济方法

Luke B Connelly B.A.(Econ.), M.Econ.St., Ph.D.
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引用次数: 29

摘要

随机对照试验的设计需要做出既有经济意义又有统计学意义的决定。特别是,在其他条件相同的情况下,个体或集群随机化设计的选择可能会影响达到所需功率水平的成本。此外,如果选择集群随机化,研究人员必须决定如何平衡集群或“站点”的数量以及每个站点的大小。本文研究了这些相互关联的统计和经济问题。其主要目的是阐明统计学和经济学的权衡,以帮助研究人员采用具有理想的经济学和统计学性质的随机对照试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Balancing the number and size of sites: an economic approach to the optimal design of cluster samples

The design of randomized controlled trials entails decisions that have economic as well as statistical implications. In particular, the choice of an individual or cluster randomization design may affect the cost of achieving the desired level of power, other things being equal. Furthermore, if cluster randomization is chosen, the researcher must decide how to balance the number of clusters, or “sites,” and the size of each site. This article investigates these interrelated statistical and economic issues. Its principal purpose is to elucidate the statistical and economic trade-offs to assist researchers to employ randomized controlled trials that have desired economic, as well as statistical, properties.

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