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

2008

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

2008

- 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