The Cox or proportional hazards regression model is used to analyze survival or failure time data

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- The Cox or proportional hazards regression model is used to analyze survival or failure time data
- The technique may 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
- 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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