Literature DB >> 24403868

GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate.

Sarah M Kreidler1, Keith E Muller2, Gary K Grunwald1, Brandy M Ringham1, Zacchary T Coker-Dukowitz2, Uttara R Sakhadeo2, Anna E Barón1, Deborah H Glueck1.   

Abstract

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.

Entities:  

Keywords:  Gaussian errors; Java; multivariate linear models; power; web

Year:  2013        PMID： 24403868      PMCID： PMC3882200          DOI： 10.18637/jss.v054.i10

Source DB:  PubMed          Journal:  J Stat Softw        ISSN： 1548-7660            Impact factor:   6.440


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Authors:  Keith E Muller; Lisa M Lavange; Sharon Landesman Ramey; Craig T Ramey
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