Journal article
Nomogram for survival analysis in the presence of competing risks
- Abstract:
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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 ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 256.7KB)
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- Publisher copy:
- 10.21037/atm.2017.07.27
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Authors
Funding
Bibliographic Details
- 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:
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2305-5847
- ISSN:
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2305-5839
- Source identifiers:
-
743457
Item Description
- Keywords:
- Pubs id:
-
pubs:743457
- UUID:
-
uuid:cc6c7d2d-f236-4ed2-98db-3b06cbbf824a
- Local pid:
- pubs:743457
- Deposit date:
- 2017-11-14
Terms of use
- 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
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