SURVIVAL ANALYSIS (2/1 Credits)

Learning Outcomes:

On successful completion of this course students will be able to: Explain survival data and analysis method; Apply survival analysis method; Interpret the result of survival analysis; Use R Software in survival data analysis.

Topics:

1. An Introduction to Survival Analysis;
2. Survival Data Layout;
3. Basic Concepts of Survival Models;
4. Life Table and Kaplan-Meier Survival Curves;
5. The log–rank test;
6. The Cox Proportional Hazards Model and Its Characteristics;
7. Evaluating the Proportional Hazards Assumption;
8. Stratified Cox (SC) Model;
9. Extension of the Cox Proportional Hazards Model for Time-Dependent Variables;
10. Parametric Survival Models;
11. Life Table and Kaplan-Meier Survival Curves;
12. The log–rank test;
13. The Cox Proportional Hazards Model and Its Characteristics;
14. Stratified Cox (SC) Model;
15. Parametric Survival Models.