GLIMMPSE : Online Power Computation for Linear Models with and without a Baseline Covariate
Open accessAbstract
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.
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A sample size calculation was performed using GLIMMPSE with parameters alpha 0.05, beta 0.80, six time assessments, primary test time*treatment interaction, SIGH-SAD baseline M 28.0 SD 7.0, linear decrease to 24.0 in BLT, no change in DRLT, Hotelling-Lawley Trace correction, base correlation 0.4, decay rate 0.05.
“A sample size calculation was performed using GLIMMPSE V.2.1.5. software,58 with the following parameters: alpha 0.05; beta 0.80; six time assessments (continuous, equally spaced); primary test: time*treatment interaction; Structured Interview Guide for the Hamilton Depression Scale—Seasonal Affective Disorder version (SIGH-SAD) Scores assumed at baseline: M: 28.0 and SD: 7.0, with a linear Decrea”
From Effects of bright light therapy for depression during pregnancy: a randomised, double-blind controlled trial (2020) · cites this paper as [58]
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Cites
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Hardcastle, C., Hausman, H. K., Kraft, J. N., Albizu, A., O’Shea, A., Boutzoukas, E. M., Evangelista, N. D., Langer, K., Van Etten, E. J., Bharadwaj, P. K., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00535-1 · Cited by 22 · see citing works
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- Authors
- Kreidler, S. M., Muller, K. E., Grunwald, G. K., Ringham, B. M., Coker-Dukowitz, Z., Sakhadeo, U. R., Baron, A. E., & Glueck, D. H.
- Affiliations
- University of Colorado Denver (US)
- University of Florida (US)
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2013
- Volume
- 54
- Issue
- 10
- ISSN
- 1548-7660 (ISSN-L)
- PMC
- PMC3882200
- OpenAlex
- W2151538189
- Cited by
- 399
- References
- 3
- Citations by year
- 2026: 43 · 2025: 49 · 2024: 52 · 2023: 39 · 2022: 48 · 2021: 50 · 2020: 32 · 2019: 35 · 2018: 24 · 2017: 11 · 2016: 7 · 2015: 2 · 2014: 6
- FWCI
- 4.41
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Statistical Software (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (5r01de020832-04)
- National Institute on Alcohol Abuse and Alcoholism (R01AA013458)
- National Heart, Lung, and Blood Institute (R01HL091005)
- National Cancer Institute (K07CA088811)
- National Institute of Dental and Craniofacial Research (U54DE019261, R01-DE020832)
- National Center for Research Resources (K30RR022258)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- statistical power, sample size determination, Gaussian errors, baseline covariates, web application, head and neck cancer, online tutorials
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