- Abstract:
-
Clinical research usually involves time-to-event survival analysis, in which the presence of a competing event is prevalent. It is acceptable to use the conventional Cox proportional hazard regression to model cause-specific hazard. However, this cause-specific hazard cannot directly translate to the cumulative incidence function, and the latter is usually clinically relevant. The subdistribution hazard regression directly quantifies the impact of covariates on the cumulative incidence. When ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 256.7kb)
-
- Publisher copy:
- 10.21037/atm.2017.07.27
-
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- Publisher:
- AME Publishing Company Publisher's website
- Journal:
- Annals of Translational Medicine Journal website
- Volume:
- 5
- Issue:
- 20
- Pages:
- 1-6
- Publication date:
- 2017-10-01
- Acceptance date:
- 2017-07-12
- DOI:
- EISSN:
-
2305-5847
- ISSN:
-
2305-5839
- Pubs id:
-
pubs:743457
- URN:
-
uri:cc6c7d2d-f236-4ed2-98db-3b06cbbf824a
- UUID:
-
uuid:cc6c7d2d-f236-4ed2-98db-3b06cbbf824a
- Local pid:
- pubs:743457
- Copyright holder:
- © Annals of Translational Medicine. All rights reserved.
- Copyright date:
- 2017
- Notes:
- This is the publisher's version of the article. The final version is available online from AME Publishing Company at: 10.21037/atm.2017.07.27
Journal article
Nomogram for survival analysis in the presence of competing risks
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