StatiCAL: an interactive tool for statistical analysis of biomedical data and scientific valorization.

Tanguy Pace-Loscos, Jocelyn Gal, Sara Contu, Renaud Schiappa, Emmanuel Chamorey, Dorian Culié
Author Information
  1. Tanguy Pace-Loscos: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France. tanguy.pace-loscos@nice.unicancer.fr.
  2. Jocelyn Gal: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
  3. Sara Contu: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
  4. Renaud Schiappa: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
  5. Emmanuel Chamorey: Département d'Epidémiologie, de Biostatistique et des Données de Santé, Centre Antoine Lacassagne, Université Cote d'Azur, Nice, France.
  6. Dorian Culié: Institut Universitaire de la Face et du Cou, Centre Antoine Lacassagne, Département de Chirurgie Cervico-Faciale, Université Cote d'Azur, 06103, Nice, France.

Abstract

BACKGROUND: In the realm of biomedical research, the growing volume, diversity and quantity of data has escalated the demand for statistical analysis as it is indispensable for synthesizing, interpreting, and publishing data. Hence the need for accessible analysis tools drastically increased. StatiCAL emerges as a user-friendly solution, enabling researchers to conduct basic analyses without necessitating extensive programming expertise.
RESULTS: StatiCAL includes divers functionalities: data management, visualization on variables and statistical analysis. Data management functionalities allow the user to freely add or remove variables, to select sub-population and to visualise selected data to better perform the analysis. With this tool, users can freely perform statistical analysis such as descriptive, graphical, univariate, and multivariate analysis. All of this can be performed without the need to learn R coding as the software is a graphical user interface where all the action can be performed by clicking a button.
CONCLUSIONS: StatiCAL represents a valuable contribution to the field of biomedical research. By being open-access and by providing an intuitive interface with robust features, StatiCAL allow researchers to gain autonomy in conducting their projects.

Keywords

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MeSH Term

Software
Biomedical Research
User-Computer Interface
Computational Biology
Data Management
Data Interpretation, Statistical

Word Cloud

Created with Highcharts 10.0.0analysisdatastatisticalStatiCALbiomedicalmanagementDatacanresearchneedresearcherswithoutvariablesallowuserfreelyperformtoolgraphicalperformedsoftwareinterfaceBACKGROUND:realmgrowingvolumediversityquantityescalateddemandindispensablesynthesizinginterpretingpublishingHenceaccessibletoolsdrasticallyincreasedemergesuser-friendlysolutionenablingconductbasicanalysesnecessitatingextensiveprogrammingexpertiseRESULTS:includesdiversfunctionalities:visualizationfunctionalitiesaddremoveselectsub-populationvisualiseselectedbetterusersdescriptiveunivariatemultivariatelearnRcodingactionclickingbuttonCONCLUSIONS:representsvaluablecontributionfieldopen-accessprovidingintuitiverobustfeaturesgainautonomyconductingprojectsStatiCAL:interactivescientificvalorizationMedicalstatisticsStatistical

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