4.6 Article

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

Journal

JOURNAL OF STATISTICAL SOFTWARE
Volume 54, Issue 10, Pages 1-26

Publisher

JOURNAL STATISTICAL SOFTWARE
DOI: 10.18637/jss.v054.i10

Keywords

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

Funding

  1. American Recovery and Re-investment Act supplement [3K07CA088811-06S, K07CA088811]
  2. University of Colorado Denver, (Deborah Glueck, PI)
  3. NIDCR [1 R01 DE020832-01A1]
  4. NCI
  5. NIDCR
  6. NIH/NIDCR [U54-DE019261]
  7. NIH/NCRR [K30-RR022258]
  8. NIH/NHLBI [R01-HL091005]
  9. NIH/NIAAA [R01-AA013458-01]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available