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C. Software Citers.

Title: C. Software Citers.
Authors: Deborah H. Glueck; Qian Li; Alasdair J. Macleod; Elizabeth M. Litkowski; Xi Yang; Jiang Bian; Albert D. Ritzhaupt; Max Sommer; Natercia Valle; Jessica R. Shaw; Keith E. Muller
Publication Year: 2025
Subject Terms: Genetics; Biotechnology; Biological Sciences not elsewhere classified; Information Systems not elsewhere classified; requiring user decisions; 200 million dollars; source software tool; sample size calculations; almost 500 peer; sample size; testable hypothesis; ten levels; subgroup factor; shows accuracy; reviewed manuscripts; repeated measures; randomized trial; randomized experiments; observational studies; multivariate outcome; longitudinal study; gaussian errors; funded studies; complex study; clinical trials; back end
Description: GLIMMPSE Version 3 is a free, web-based, open-source software tool, which calculates power and sample size for general linear mixed models with Gaussian errors. The software permits power calculations for clinical trials, randomized experiments, and observational studies with clustering, repeated measures, and both, and almost any testable hypothesis. The software has been supported by five United States National Institutes of Health (NIH) grants, is used for more than 14,000 power or sample size calculations per year, has been cited in almost 500 peer-reviewed manuscripts, and used to design more than 200 million dollars in NIH-funded studies. This release provides several new features. The back end has been refactored in Python. The interface has been simplified, requiring user decisions about only one topic per screen. A new menu improves specification of both between-participant and within-participant hypotheses. A recursive algorithm permits computing covariances for up to ten levels of clustering. An updated Monte Carlo simulation using five new examples with clustering, longitudinality, or both, shows accuracy of the power approximations to within 0.01. Five new examples demonstrate power or sample size calculations for 1) a cluster-randomized trial, 2) a longitudinal study with repeated measures, 3) a multilevel study with a multivariate outcome, 4) a multilevel and longitudinal study, and 5) a complex study with a subgroup factor, repeated measures, and intervention-by-location interaction.
Document Type: article in journal/newspaper
Language: unknown
Relation: https://figshare.com/articles/journal_contribution/C_Software_Citers_/30046340
DOI: 10.1371/journal.pone.0329712.s003
Availability: https://doi.org/10.1371/journal.pone.0329712.s003; https://figshare.com/articles/journal_contribution/C_Software_Citers_/30046340
Rights: CC BY 4.0
Accession Number: edsbas.C82CF515
Database: BASE