The Cox Model Estimation ,also called the proportional hazard model is a classical semi-parameter method in survival analysis. A Cox model provides an estimate of the effect on survival for variables and the hazard of death for an individual. Using Cox regression analysis, we will obtain an equation for the hazard as a function of several variables. A positive regression coefficient for an explanatory variable means that the hazard is higher with higher values of that variable. while for negative regression coefficient for an explanatory variable, the hazard is lower with higher values of that variable.
The proportional hazards assumption: Observations should be independent, and the hazard ratio should be constant across time; that is, the proportionality of hazards from one case to another should not vary over time.
This tutorial will show you how to:
Go to worksheet CoxPHM1 for the analysis report.