I am very new to survival analysis. I am looking for differences between these two methods – Kaplan-Meier(K-M) vs. Cox Regression.
- KM Survival Analysis cannot use multiple predictors, whereas Cox Regression can.
- KM Survival Analysis can run only on a single binary predictor, whereas Cox Regression can use both continuous and binary predictors.
- KM is a non-parametric procedure, whereas Cox Regression is a semi-parametric procedure.
Please check the above points. If incomplete or incorrect, please suggest the changes.
Best Answer
I generally try to use KM as a descriptive statistic and Cox regressions for anything related to my hypothesis. Regarding your questions: