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A Biostatistical Literacy Course: Teaching Medical and Public Health Professionals to Read and Interpret Statistics in the Published Literature

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  • Author(s): Ann M. Brearley (ORCID Ann M. Brearley (ORCID 0000-0002-6363-7717); Kollin W. Rott (ORCID Kollin W. Rott (ORCID 0000-0003-4516-4319); Laura J. Le (ORCID Laura J. Le (ORCID 0000-0003-2191-455X)
  • Language:
    English
  • Source:
    Journal of Statistics and Data Science Education. 2023 31(3):286-294.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Descriptive
  • Additional Information
    • Availability:
      Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
    • Peer Reviewed:
      Y
    • Source:
      16
    • Subject Terms:
    • Subject Terms:
    • Accession Number:
      10.1080/26939169.2023.2165987
    • ISSN:
      2693-9169
    • Abstract:
      We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the typical first-semester introductory material, including data summaries, hypothesis tests and interval estimation, and simple linear regression, as well as material typically presented in a second introductory course, including multiple linear regression, logistic regression, and time-to-event methods. The focus is on when to use a method and how to interpret the results; no statistical software computing is taught. A flipped classroom approach is used, where students are first exposed to the material outside of class, and class time is devoted to actively exploring and applying the concepts in greater depth. The course structure, the class activities, and feedback from students will be shared. Supplementary materials for this article are available online.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      EJ1404917