Basic statistics for the medical educator – a problem-based learning approach

Date:                    Saturday 24th August

Half Day:              0930-1630

Level:                   Introductory


  1.  André F. De Champlain, Medical Council of Canada, Canada
  2. John R. Boulet, Foundation for Advancement of International Medical Education and Research, USA
  3. Mark Raymond, National Board of Medical Examiners, USA

Summary of theme and why it is important: The practice of medicine is changing drastically due to a number of factors, including the amount of knowledge and information that physicians must contend with in their daily practice. In 1950, medical knowledge was estimated to double very 50 years; in 1980, every 7 years; and in 2010, every 3.5 years. In 2020 it is estimated to double every 0.2 years, i.e., 73 days (Densen, 2011).  One of the skills that is, and will continue to be central in this era of “information overload” is the ability to critically appraise information.  Specifically, knowledge of statistics has been raised as a key skill to: (a) better evaluate information from clinical trials and research more generally; (b) to foster research activities in addition to clinical work and; (c) to better understand risk and explain this to patients. Despite a general acknowledgement of the importance of statistics in medicine, the amount of training offered to physicians in this area is still lacking.
The aim of this workshop is to utilize a problem-based approach to go over several key areas in statistics including descriptive statistics, inferential parametric statistics (e.g.: t-test, ANOVA, etc.), categorical data analysis (odds rations, risk, logistic regression) and survival data analysis.  Concrete problems and examples will be selected as a means of illustrating an analysis, the assumptions of the latter, how to run the analysis and interpret findings confidently.

Who should participate in the Pre-Conference Workshop? Any medical educator who would like to improve their knowledge of basic statistics in a supportive environment with practical applications.

What will they gain from participating? An increased confidence in the use and proper interpretation of results from common statistical analyses.

Cost: Euros 215 (includes coffee and lunch)

PLEASE NOTE: Pre-conference Workshop participants must also register for AMEE 2019 and pay the conference fee.


Twitter_001 facebook_001 Google_Plus_001 Linkedin_001 YouTube_001