Interpreting and comparing risks in the presence of competing events
Wolkewitz, Martin, Cooper, Ben S., Bonten, Marc J. M., Barnett, Adrian G., & Schumacher, Martin (2014) Interpreting and comparing risks in the presence of competing events. BMJ, 349, g5060.
Competing events are common in medical research. Ignoring them in the statistical analysis can easily lead to flawed results and conclusions. This article uses a real dataset and a simple simulation to show how standard analysis fails and how such data should be analysed
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|Item Type:||Journal Article|
|Keywords:||competing risks, Time-to-event methods, Infectious diseases|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Epidemiology (111706)
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
|Copyright Owner:||Copyright 2014 BMJ Publishing Group Ltd|
|Deposited On:||03 Sep 2014 22:49|
|Last Modified:||04 Sep 2014 22:14|
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