
Analysis of factors affecting Canadian medical students’ success in the residency match
Author(s) -
Joshua Lakoff,
Kelly Howse,
Nicholas Cofie,
Sylvia Heeneman,
Nancy Dalgarno
Publication year - 2020
Publication title -
canadian medical education journal
Language(s) - English
Resource type - Journals
ISSN - 1923-1202
DOI - 10.36834/cmej.68981
Subject(s) - matching (statistics) , logistic regression , medical education , descriptive statistics , medical school , family medicine , selection (genetic algorithm) , demography , psychology , medicine , computer science , sociology , statistics , artificial intelligence , mathematics , pathology
In North America, there is limited data to support deliberate application strategies for post-graduate residency training. There is significant interest in determining what factors play a role in Canadian medical graduate (CMG) matching to their first choice discipline and heightened concern about the number of students going unmatched altogether.