Interpreting and comparing risks in the presence of competing events
| Data(s) |
2014
|
|---|---|
| Resumo |
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 |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
B M J Group |
| Relação |
http://eprints.qut.edu.au/75919/1/75919.pdf DOI:10.1136/bmj.g5060 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. |
| Direitos |
Copyright 2014 BMJ Publishing Group Ltd |
| Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work |
| Palavras-Chave | #010401 Applied Statistics #111706 Epidemiology #competing risks #Time-to-event methods #Infectious diseases |
| Tipo |
Journal Article |
