Published January 22, 2025
| Version 0.1.0
Software
Open
An open-source statistical web application for validation and analysis of virtual cohorts
Authors/Creators
-
1.
European Clinical Research Infrastructure Network
- 2. ECRIN
- 3. Automation and Information Technology, Transilvania University of Brasov
- 4. Deutsches Herzzentrum der Charite
- 5. Charite Universitätsmedizin Berlin Institut für Laboratoriumsmedizin Klinische Chemie und Pathobiochemie
-
6.
Heinrich Heine University Düsseldorf
-
7.
Düsseldorf University Hospital
Description
The open-source statistical web application (called R-statistical environment) is an advanced Shiny application for statistical analysis, with a focus on validating and applying virtual cohorts. It was developed within the EU-funded project SIMCor (https://www.simcor-h2020.eu/). This tool is designed for researchers, data analysts, and academicians who require rigorous data analysis and visualization in fields like biomedical research, statistical modeling, and data science.
Key features are:
- Data Import and Validation: Upload and validate virtual and real datasets in CSV format.
- Advanced Statistical Analysis: Includes univariate, bivariate, and multivariate comparisons, along with variability assessments.
- Interactive Visualizations: Dynamic plots using
- Report Generation: Export analysis reports in PDF format.
- Bootstrap Analysis: For variability assessments and comparisons.
Files
SIMCor.zip
Files
(82.9 kB)
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Additional details
Related works
- Is derived from
- Project deliverable: 10.5281/zenodo.6353627 (DOI)
Funding
Software
- Repository URL
- https://github.com/ecrin-github/SIMCor/blob/main/README.md
- Programming language
- R
- Development Status
- Active