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群组随机对照试验的样本量估计。

Sample size estimation for cluster randomized controlled trials.

机构信息

School of Physiotherapy, Centre for Health, Activity and Rehabilitation Research, University of Otago, New Zealand.

School of Physical Therapy, College of Medicine, University of Saskatchewan, Canada.

出版信息

Musculoskelet Sci Pract. 2018 Apr;34:108-111. doi: 10.1016/j.msksp.2017.10.002. Epub 2017 Oct 12.

Abstract

Cluster randomized controlled trials (cRCTs) are commonly used by clinical researchers. The advantages of cRCTs include preventing treatment contamination, enhancing administrative efficiency, convenience, external validity, ethical considerations, and likelihood of increased compliance by participants. However, when designing a cRCT, clinical researchers are faced with challenges, such as cluster units that may not have an equal number of participants within each. In this Technical Note, we discuss approaches for estimating the sample size, while taking into account unequal cluster sizes, and strategies for optimizing the design of cluster trials.

摘要

群组随机对照试验(cluster randomized controlled trials,cRCTs)在临床研究中被广泛应用。cRCTs 的优点包括防止治疗污染、提高行政效率、方便性、外部有效性、伦理考虑以及增加参与者依从性的可能性。然而,在设计 cRCT 时,临床研究人员面临着一些挑战,例如,群组单位内每个群组的参与者数量可能不相等。在本技术说明中,我们讨论了在考虑不等群组大小的情况下估计样本量的方法,以及优化群组试验设计的策略。

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