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

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  • Kreidler, Sarah M.
  • Muller, Keith E.
  • Grunwald, Gary
  • Ringham, Brandy M.
  • Coker-Dukowitz, Zacchary T.
  • Sakhadeo, Uttara R.
  • Barón, Anna E.
  • Glueck, Deborah H.

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.

Suggested Citation

  • Kreidler, Sarah M. & Muller, Keith E. & Grunwald, Gary & Ringham, Brandy M. & Coker-Dukowitz, Zacchary T. & Sakhadeo, Uttara R. & Barón, Anna E. & Glueck, Deborah H., 2013. "GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i10).
    • Handle: RePEc:jss:jstsof:v:054:i10
    DOI: http://hdl.handle.net/10.18637/jss.v054.i10
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    References listed on IDEAS

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    1. Gwowen Shieh, 2005. "Power and sample size calculations for multivariate linear models with random explanatory variables," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 347-358, June.
    2. Muller, Keith E. & Peterson, Bercedis L., 1984. "Practical methods for computing power in testing the multivariate general linear hypothesis," Computational Statistics & Data Analysis, Elsevier, vol. 2(2), pages 143-158, August.
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    Cited by:

    1. Spampatti, Tobia & Hahnel, Ulf J.J. & Trutnevyte, Evelina & Brosch, Tobias, 2022. "Short and long-term dominance of negative information in shaping public energy perceptions: The case of shallow geothermal systems," Energy Policy, Elsevier, vol. 167(C).
    2. Aarti Munjal & Uttara R Sakhadeo & Keith E Muller & Deborah H Glueck & Sarah M Kreidler, 2014. "GLIMMPSE Lite: Calculating Power and Sample Size on Smartphone Devices," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-26, December.

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