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Cox Proportional Hazards Regression

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Encyclopedia of Public Health

Synonyms

Cox proportional hazards model; Cox regression; Proportional hazard regression

Definition

The Cox or proportional hazards regression model is used to analyze survival or failure time data. The technique may also be used when survival is influenced by a large number of factors, some of which may be correlated, and the aim is to identify those features of the patient or the disease that are of independent prognostic significance. This model is a regression method for survival data , and provides an estimate of the hazard ratio and its confidence interval. The Cox proportional hazards model is an appealing analytic method that is powerful and flexible. The Cox model itself makes three assumptions: first, that the ratio of the hazards of two individuals is the same at all times; secondly, that the explanatory variables act multiplicatively on the hazard; and thirdly, that the failure times of individuals are independent.

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© 2008 Springer-Verlag

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(2008). Cox Proportional Hazards Regression . In: Kirch, W. (eds) Encyclopedia of Public Health. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5614-7_602

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  • DOI: https://doi.org/10.1007/978-1-4020-5614-7_602

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-5613-0

  • Online ISBN: 978-1-4020-5614-7

  • eBook Packages: MedicineReference Module Medicine

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