IDEAS home Printed from
   My bibliography  Save this paper

Teaching Stata and statistics in contexts of evidence-based medicine and clinical trials


  • Glenn Jones

    () (McMaster University)

  • Alexandra Whate

    (University of Guelph)


International experiences with students (high school, medical) and clinical investigators (courses, trials' meetings) demonstrate that Stata is highly visual, intuitive, and relatively straightforward. Stata helps the teacher communicate efficiently and effectively about methods and concepts relating to data management, statistics, reporting, the nature of evidence and causality, and the technology of trials. For example, core aspects of medical research (randomized trials, survival plots) do not require sophisticated modeling methods and are essential (i.e. repeatedly used to answer different questions). A subset of Stata components aligns with non-Stata course content to constitute a "basic curriculum" for individuals without much statistical training or research experience. Hands-on use of Stata (e.g. individual laptops) using a small set of concocted databases with highly relevant questions may be matched in real-time to a presentation of course content. Stata quickly becomes an easy "add-on" to an organized presentation of course content. Consistent with educational psychology, the combination of didactic presentation and dynamic (i.e. Stata) interactions more effectively engages learners and improves learning and retention. Learners simultaneously pick up Stata as a skill. Theoretical and practical features of this teaching approach, relevant from elementary school to medical professionals and clinical investigators, will be described and demonstrated.

Suggested Citation

  • Glenn Jones & Alexandra Whate, 2009. "Teaching Stata and statistics in contexts of evidence-based medicine and clinical trials," Canadian Stata Users' Group Meetings 2009 06, Stata Users Group.
  • Handle: RePEc:boc:csug09:06

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:csug09:06. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.