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Related Experiment Videos

[Sem: a suitable statistical software adaptated for research in oncology].

F Kwiatkowski1, M Girard, K Hacene

  • 1Centre Jean-Perrin, Unité de bio-statistiques, rue Montalembert, BP 392, 63011 Clermont-Ferrand Cedex.

Bulletin Du Cancer
|November 21, 2000
PubMed
Summary

A new software, Statistics Epidemiology Medicine (Sem), integrates medical data management and statistical analysis. It offers user-friendly features for non-statisticians and enhances data security for clinical trials.

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Area of Science:

  • Medical Informatics
  • Biostatistics
  • Clinical Trial Management

Context:

  • Existing medical software often lacks integrated data management and statistical analysis capabilities.
  • Clinical research necessitates robust tools for handling sensitive patient data and performing complex statistical procedures.
  • Non-statisticians in medical research require accessible software for data handling and analysis.

Purpose:

  • To introduce Sem (Statistics Epidemiology Medicine), a novel software designed for comprehensive data management and statistical analysis in medical research.
  • To provide a user-friendly platform for biologists, doctors, researchers, and data managers to conduct statistical treatments on trial data.
  • To enhance data security and privacy within medical research through specialized database management and encryption.

Related Experiment Videos

Summary:

  • Sem offers integrated data management and statistical analysis for clinical trials, suitable for non-statisticians.
  • The software features automated test selection, enhanced data security measures, and flexible data organization, including date calculations.
  • Sem facilitates seamless data integration with common desktop applications, enabling easy performance of statistical analyses and visualization of results like survival curves.

Impact:

  • Sem streamlines clinical trial data management and statistical analysis, improving efficiency for medical professionals.
  • The software's accessibility empowers researchers without extensive statistical expertise to perform sophisticated analyses.
  • Enhanced data security and privacy features in Sem are crucial for compliance and protecting sensitive patient information in networked environments.