Can Ridge Regression Be Used for Survival Analysis?
Yes, ridge regression can be adapted for survival analysis, which is essential in cancer studies for predicting patient outcomes. Techniques like Cox proportional hazards model can incorporate ridge regression to handle situations where the number of covariates is large. This helps in building more robust models for predicting survival times and understanding the factors affecting patient prognosis.
