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

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
Source :
Journal of Statistical Software, Vol 54, Iss 1, Pp 1-26 (2013)
Publication Year :
2013
Publisher :
Foundation for Open Access Statistics, 2013.

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.

Subjects

Subjects :
Statistics
HA1-4737

Details

Language :
English
ISSN :
15487660
Volume :
54
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Statistical Software
Publication Type :
Academic Journal
Accession number :
edsdoj.59ba8b3dd5744cdb80ddfa9ac7f4226d
Document Type :
article
Full Text :
https://doi.org/10.18637/jss.v054.i10