Start Your Study Design

Welcome to GLIMMPSE. The GLIMMPSE software calculates power and sample size for study designs with normally distributed outcomes. Select one of the options below to begin your power or sample size calculation.

Guided Study Design
Build common study designs including ANOVA, ANCOVA, and regression with guidance from the study design wizard. This mode is designed for applied researchers including physicians, nurses, and other investigators.
Matrix Study Design
Directly enter the matrices for the general linear model. This mode is designed for users with advanced statistical training.
If you have previously saved a study design from GLIMMPSE, you may upload it here. Click 'Upload a Study Design' to select your study design file.
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Results{{glimmpseConstants.debug ? ' (' + (getMode() == glimmpseConstants.modeGuided ? 'guided' : 'matrix') + ')' : ''}}
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Copyright 2017 University of Colorado Denver. GLIMMPSE is released under the GNU General Public License, version 2.

GLIMMPSE version 2.2.8 is currently funded by NIH/NIGMS 9R01GM121081-05 to the University of Colorado Denver (Dana Dabelea, Deborah H. Glueck, Keith E. Muller MPI), and by NIH/NIGMS 5R25GM111901-03 to the University of Florida (Deborah H. Glueck, Keith E. Muller MPI). Explanatory material mirrors material developed for NIH/NLM 5G13LM011879-03, awarded to the University of Florida (Deborah H. Glueck, Keith E. Muller, MPI).

Previous funding was provided by NIH/NIDCR 1 R01 DE020832-01A1 to the University of Florida (Keith E. Muller, PI; Deborah Glueck, University of Colorado site PI) and by an American Recovery and Re-investment Act supplement (3K07CA088811-06S) for NIH/NCI grant K07CA088811, awarded to the University of Colorado Denver (Deborah H. Glueck, PI).

GLIMMPSE is described in
Kreidler, Sarah M., Keith E. Muller, Gary K. Grunwald, Brandy M. Ringham, Zacchary T. Coker-Dukowitz, Uttara R. Sakhadeo, Anna E. Barón, and Deborah H. Glueck. “GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate.” Journal of Statistical Software 54, no. 10 (September 2013). http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882200/.
Please cite accordingly in your work.