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Competing risks in epidemiology: possibilities and pitfalls
Author(s) -
Per Kragh Andersen,
Ronald B. Geskus,
Théo de Witte,
Hein Putter
Publication year - 2012
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyr213
Subject(s) - covariate , cumulative incidence , proportional hazards model , context (archaeology) , hazard , hazard ratio , inference , cumulative risk , medicine , statistics , transplantation , confidence interval , mathematics , computer science , surgery , geography , chemistry , archaeology , organic chemistry , artificial intelligence
In studies of all-cause mortality, the fundamental epidemiological concepts of rate and risk are connected through a well-defined one-to-one relation. An important consequence of this relation is that regression models such as the proportional hazards model that are defined through the hazard (the rate) immediately dictate how the covariates relate to the survival function (the risk).

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