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StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization
Tanguy Pace-Loscos1, Jocelyn Gal2, Sara Contu2
1Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France. tanguy.pace-loscos@nice.unicancer.fr.
StatiCAL is a new, open-access tool that simplifies statistical analysis for biomedical researchers. It offers a user-friendly interface for data management and various analyses, reducing the need for programming expertise.
Area of Science:
- Biomedical Research
- Data Science
- Statistical Software
Background:
- The increasing volume and complexity of biomedical data necessitate advanced statistical analysis for interpretation and publication.
- Accessible and user-friendly analysis tools are in high demand within the research community.
- Traditional methods often require extensive programming knowledge, posing a barrier for many researchers.
Purpose of the Study:
- To introduce StatiCAL, an open-access software designed to simplify statistical analysis in biomedical research.
- To provide researchers with an intuitive graphical user interface (GUI) for data management and analysis.
- To empower researchers to conduct analyses independently, without requiring advanced R coding skills.
Main Methods:
- StatiCAL offers a GUI-based platform for data management, including adding/removing variables and selecting subpopulations.
- The software supports data visualization for enhanced understanding of selected datasets.
- It enables a range of statistical analyses, including descriptive, graphical, univariate, and multivariate methods.
Main Results:
- StatiCAL provides functionalities for comprehensive data management and visualization.
- Users can perform diverse statistical analyses through a simple point-and-click interface.
- The tool effectively eliminates the need for users to learn R programming for basic to intermediate analyses.
Conclusions:
- StatiCAL is a valuable, open-access resource for the biomedical research community.
- Its intuitive interface and robust features enhance researchers' autonomy in project execution.
- The software democratizes access to statistical analysis, facilitating data-driven discoveries.
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