Survival Analysis Class Notes
Survival Analysis: A Self-Learning Text Third Edition, by D. Kleinbaum and M. Klein,
Springer (2012).

Copies of the classnotes are on the internet in PDF format as given below. The "Proofs of Theorems" files were prepared in Beamer. The "Printout of Proofs" are printable PDF files of the Beamer slides without the pauses. These notes and supplements have not been classroom tested (and so may have some typographical errors).

Survival Analysis (STAT 5750) has a formal prerequisite of Linear Algebra (MATH 2050) and permission of the advisor or the instructor. The catalog discription is: "Topics include concepts of time-to-event data, the hazard and survival functions, censoring mechanisms, non-parametric, semi-parametric, and parametric estimations and inferences, and comparison of survival curves." These descriptions are based on the ETSU 2019-20 Undergraduate Catalog.

Chapter 1. Introduction to Survival Analysis.

Chapter 2. Kaplan-Meier Survival Curves and the Log-Rank Test.

Chapter 3. The Cox Proportional Hazards Model and Its Characteristics.

Chapter 4. Evaluating the Proportional Hazards Assumption.

Chapter 5. The Stratified Cox Procedure.

Chapter 6. Extension of the Cox Proportional Hazards for Time-Dependent Variables.

Chapter 7. Parametric Survival Models.

Chapter 8. Recurrent Event Survival Analysis.

Chapter 9. Competing Risks Survival Analysis.

Chapter 10. Design Issues for Randomized Trials.

Computer Appendix: Survival Analysis on the Computer.


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