A hazard model of the probability of medical school drop‐out in the UK

Wiji Arulampalam, Robin Naylor () and Jeremy Smith

Journal of the Royal Statistical Society Series A, 2004, vol. 167, issue 1, 157-178

Abstract: Summary. From individual level longitudinal data for two entire cohorts of medical students in UK universities, we use multilevel models to analyse the probability that an individual student will drop out of medical school. We find that academic preparedness—both in terms of previous subjects studied and levels of attainment therein—is the major influence on withdrawal by medical students. Additionally, males and more mature students are more likely to withdraw than females or younger students respectively. We find evidence that the factors influencing the decision to transfer course differ from those affecting the decision to drop out for other reasons.

Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (35)

Downloads: (external link)
https://doi.org/10.1046/j.0964-1998.2003.00717.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:167:y:2004:i:1:p:157-178

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-985X

Access Statistics for this article

Journal of the Royal Statistical Society Series A is currently edited by A. Chevalier and L. Sharples

More articles in Journal of the Royal Statistical Society Series A from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().