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.

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Abstract

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

Impact and interest:

26 citations in Scopus
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21 citations in Web of Science®

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Full-text downloads:

36 since deposited on 03 Sep 2014
14 in the past twelve months

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ID Code: 75919
Item Type: Journal Article
Refereed: Yes
Keywords: competing risks, Time-to-event methods, Infectious diseases
DOI: 10.1136/bmj.g5060
ISSN: 1756-1833
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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