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整群随机交叉试验的样本量计算

Sample size calculation for cluster randomized cross-over trials.

作者信息

Giraudeau B, Ravaud P, Donner A

机构信息

INSERM, CIC 202, France.

出版信息

Stat Med. 2008 Nov 29;27(27):5578-85. doi: 10.1002/sim.3383.

DOI:10.1002/sim.3383
PMID:18646266
Abstract

The cluster randomized cross-over design has been proposed in particular because it prevents an imbalance that may bring into question the internal validity of parallel group cluster trials. We derived a sample size formula for continuous outcomes that takes into account both the intraclass correlation coefficient (representing the clustering effect) and the interperiod correlation (induced by the cross-over design).

摘要

特别提出整群随机交叉设计是因为它能防止出现可能会质疑平行组整群试验内部有效性的失衡情况。我们推导了一个针对连续结果的样本量公式,该公式同时考虑了组内相关系数(代表聚类效应)和周期间相关性(由交叉设计引起)。

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