Statical: Evaluation of an open access biostatistics tool.
Background: Statistical analysis is crucial in clinical research, but many clinicians lack training or support. StatiCAL, a free and intuitive tool, was created to address this gap without needing coding skills. This study evaluates its effectiveness and usability by analyzing physicians' performanc...
| Publicado en: | Health Informatics Journal Vol. 32; no. 2; pp. 1 - 9 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Apr-Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194971586&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194971586 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14604582 EJK jtl: Health Informatics Journal issn: 14604582 maglogo: Y pubinfo: dt: Apr-Jun2026 vid: 32 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194971586 194971586 194971586 10.1177/14604582261450831 194971586 ppf: 1 ppct: 8 formats: tig: atl: Statical: Evaluation of an open access biostatistics tool. aug: au: Pace-Loscos, Tanguy Gal, Jocelyn Contu, Sara Schiappa, Renaud Chamorey, Emmanuel Culié, Dorian affil: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Université Cote D'Azur, Centre Antoine Lacassagne, Nice, France sug: subj: Clinical Assessment Tools Evaluation Physicians Competency Assessment Task Performance and Analysis Statistics Evaluation Data Analysis Software Evaluation Data Management Reliability Evaluation Human Adult Middle Age Clinical Research Usability Study Questionnaires Descriptive Statistics Validation Studies Cross Sectional Studies T-Tests Wilcoxon Rank Sum Test Pearson's Correlation Coefficient Spearman's Rank Correlation Coefficient Data Analysis Software Chi Square Test Adult: 19-44 years Middle Aged: 45-64 years ab: Background: Statistical analysis is crucial in clinical research, but many clinicians lack training or support. StatiCAL, a free and intuitive tool, was created to address this gap without needing coding skills. This study evaluates its effectiveness and usability by analyzing physicians' performance and perceptions during real-world statistical tasks. Methods: We conducted a cross-sectional study evaluating StatiCAL's usability and effectiveness. Surgical physicians analyzed a clinical dataset using StatiCAL after completing a background questionnaire. Usability was measured with the French SUS, and all analyses were independently verified in R. Results: Fourteen physicians with limited prior experience in statistical analysis participated. All successfully completed the assigned tasks using StatiCAL, with an average completion time of 28 minutes. Interestingly, participants without prior experience completed tasks significantly faster than those with experience (p = 0.044). The average F-SUS score was 85.33, indicating high usability above the standard threshold. Conclusions: StatiCAL showed high usability and effectiveness, allowing clinicians, regardless of prior experience, to perform accurate statistical analyses efficiently. Its intuitive interface supports broader access to biostatistics, encourages collaboration with specialists, and simplifies research workflows. Further studies with larger, more diverse populations are needed to confirm and expand these findings. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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