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Conference item : Abstract

Interpretation of effect estimates in competing risks survival models: A simulated analysis of organ-specific progression-free survival in a randomised phase III cancer trial

Abstract:

In survival analyses, competing risks are encountered where the subjects under study are at risk for more than one mutually exclusive failure event [1]. Competing risks are often analysed using either cause-specific or subdistribution (cumulative incidence) proportional hazards models. Cause-specific hazards model the rate of occurrence of an event, whereas subdistribution hazards model the risk of failure of a specific event. Results of competing risks analyses are being presented more frequ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
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Publisher:
International Society of Clinical Biostatistics Publisher's website
Journal:
ISCB 2016: 37th Annual Conference of the International Society of Clinical Biostatistics Journal website
Host title:
ISCB 2016: 37th Annual Conference of the International Society of Clinical Biostatistics
Publication date:
2016-08-21
Acceptance date:
2016-05-05
Source identifiers:
622241
Subtype:
Abstract
Pubs id:
pubs:622241
UUID:
uuid:868a6b09-1d7c-4866-ac58-4f3444f61a0a
Local pid:
pubs:622241
Deposit date:
2016-05-13

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