Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Sarah M. Kreidler, Keith E. Muller, Gary Grunwald, Brandy M. Ringham, Zacchary T. Coker-Dukowitz, Uttara R. Sakhadeo, Anna E. Barón, Deborah H. Glueck
Title: GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate
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.

Page views:: 3806. Submitted: 2011-05-19. Published: 2013-09-09.
Paper: GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate     Download PDF (Downloads: 3119)
Supplements:
GLIMMPSE.zip: Source code Download (Downloads: 399; 5MB)
v54i10-replication.zip: Replication materials Download (Downloads: 262; 7MB)
v54i10-supplements.zip: Supplementary PDF documents Download (Downloads: 259; 8MB)

DOI: 10.18637/jss.v054.i10

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.