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Statical: Evaluation of an open access biostatistics tool
Tanguy Pace-Loscos1, Jocelyn Gal1, Sara Contu1
1Département d'Epidémiologie, de Biostatistique et des Données de Santé, Université Cote D'Azur, Centre Antoine Lacassagne, Nice, France.
StatiCAL, a free tool, enables clinicians to perform statistical analyses effectively without coding. Physicians showed high usability and efficiency, improving research workflows.
Area of Science:
- Biostatistics
- Clinical Research Methodology
- Medical Informatics
Background:
- Statistical analysis is vital in clinical research but often inaccessible to clinicians due to lack of training.
- StatiCAL was developed as a user-friendly, no-code tool to bridge this gap.
- This study assesses StatiCAL's real-world effectiveness and usability among physicians.
Purpose of the Study:
- To evaluate the effectiveness of StatiCAL in enabling physicians to conduct statistical analyses.
- To assess the usability and user experience of StatiCAL among surgical physicians.
- To determine if StatiCAL improves efficiency in statistical analysis for clinicians.
Main Methods:
- A cross-sectional study design was employed.
- Fourteen surgical physicians with varying statistical experience analyzed a clinical dataset using StatiCAL.
- Usability was measured using the French System Usability Scale (F-SUS), and analyses were verified using R.
Main Results:
- All 14 participants successfully completed assigned statistical tasks using StatiCAL.
- The average task completion time was 28 minutes, with less experienced participants finishing faster (p=0.044).
- A high average F-SUS score of 85.33 indicated excellent usability.
Conclusions:
- StatiCAL demonstrates high usability and effectiveness for clinicians performing statistical analyses.
- The tool facilitates efficient and accurate statistical analysis, enhancing research accessibility.
- StatiCAL supports broader biostatistics engagement and simplifies clinical research processes.
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