COX MODEL
A Cox model is a well-recognised statistical technique for exploring the relationship between the survival of a patient and several explanatory variables. A Cox model provides an estimate of the treatment effect on survival after adjustment for other explanatory variables. It allows us
to estimate the hazard (or risk) of death, or other event of interest, for individuals, given their prognostic variables.
Interpreting a Cox model involves examining the coefficients for each explanatory variable. A positive regression coefficient for an explanatory variable means that the hazard is higher. Conversely, a negative regression coefficient implies a better prognosis for patients with higher values of that variable.