GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate
GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate
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DOI：
10.18637/jss.v054.i10
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发表时间：
2013-08-01
影响因子：
5.8
通讯作者：
Glueck, Deborah H.
中科院分区：
文献类型：
--
作者：
Kreidler, Sarah M.;Muller, Keith E.;Glueck, Deborah H.
GLIMMPSE是一个免费的基于网络的软件工具，用于计算具有高斯误差的一般线性多变量模型的功效和样本量（http：//www.sampleSizeShop.org/）。GLIMMPSE为功效和样本量的计算提供了一个用户友好的界面。我们考虑具有固定预测变量的模型，以及具有固定预测变量和单个高斯协变量的模型。验证实验表明，GLIMMPSE匹配先前公布的结果的准确性，并对模拟表现良好。我们提供了几个基于头颈癌研究的在线教程。这些教程演示了如何使用GLIMMPSE计算功效和样本量。
GLIMMPSE is a free, web-based software tool that calculates power and sample size for the general linear multivariate model with Gaussian errors (http://glimmpse.SampleSizeShop.org/). GLIMMPSE provides a user-friendly interface for the computation of power and sample size. We consider models with fixed predictors, and models with fixed predictors and a single Gaussian covariate. Validation experiments demonstrate that GLIMMPSE matches the accuracy of previously published results, and performs well against simulations. We provide several online tutorials based on research in head and neck cancer. The tutorials demonstrate the use of GLIMMPSE to calculate power and sample size.