What is the Role of Covariates in Survival Analysis?
Covariates are variables that may affect the time to event, such as age, gender, or treatment type. Including covariates in models like the Cox proportional hazards model helps to adjust for these potential confounding factors and provides a more accurate estimate of the effect of the primary variable of interest. This allows for a better understanding of the independent impact of various factors on survival.
