
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.
validation, in-silico trial, Software applications, Shiny, virtual cohort, SIMCor
validation, in-silico trial, Software applications, Shiny, virtual cohort, SIMCor
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
