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Journal article

Nomogram for survival analysis in the presence of competing risks

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 ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.21037/atm.2017.07.27

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
B9 TROPICAL MEDICINE
Kattan, MW More by this author
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

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