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首页> 外文期刊>Controlled clinical trials >Estimating sample size for tests on trends across repeated measurements with missing data based on the interaction term in a mixed model.
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Estimating sample size for tests on trends across repeated measurements with missing data based on the interaction term in a mixed model.

机译:根据混合模型中的相互作用项,估计用于重复测量趋势的测试的样本量,该趋势具有丢失的数据。

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摘要

A formula to estimate the required sample size for a study with repeated measurements was constructed based on the test of an interaction term in a mixed model. It covers both random effects and serial correlation and allows for missing data. This formula indicates that the method suggested by Dawson is conservative. A simulation study further verified the accuracy of the formula. Factors that influence the required sample size, such as the number of repeated measurements, the structure of the within-subject correlation, and their interaction, were investigated in detail.
机译:根据混合模型中相互作用项的检验,构建了一个公式,用于估计重复测量的研究所需的样本量。它涵盖了随机效应和序列相关性,并允许丢失数据。这个公式表明道森建议的方法是保守的。仿真研究进一步验证了该公式的准确性。详细研究了影响所需样本量的因素,例如重复测量的次数,对象内部相关性的结构及其相互作用。

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