ST745 - Analysis of Survival Data

Instructor: Dr. Wenbin Lu (email: lu@stat.ncsu.edu)
Lectures: T, TH 11:45am-1:00pm, 1108 SAS Hall. Syllabus 
Office Hour:
TH 1-2pm, 5212 SAS Hall (or by appointment)

 

TAMoumita Chakraborty (email: mchakra@ncsu.edu)           

Office Hour: 1101 SAS Hall, W 10am-12pm.
 

Textbooks: Survival Analysis: Techniques for Censored and Truncated Data, by John P. Klein and Melvin L. Moeschberger (2003, 2nd Ed.) 

Data sets from Klein and Moeschberger (2003)

 

Reference Books:

Useful Links:

 

 

Course Schedule

Week 1

Lecture 1: Introduction for survival data 

Note 1

Lecture 2: Basic quantities describing the distribution of survival times 

 

Week 2

Lecture 3: Parametric models and methods for censored survival data 

(Homework 1, solution

Note 2

Lecture 4: Parametric models and methods for censored survival data 

 

Week 3

Lecture 5: Nonparametric estimation methods 

Note 3

Lecture 6: Nonparametric estimation methods  (Homework 2, solution)

 

Week 4

Lecture 7: Nonparametric estimation methods 

Lecture 8: Nonparametric estimation methods  (Kidney Data Example)

 

Week 5

Lecture 9: Two (K) sample problems 

Note 4

Lecture 10: Two (K) sample problems  (Homework 3, solution

 

Week 6

Lecture 11: Two (K) sample problems 

 

Lecture 12: Two (K) sample problems

 

Week 7

Lecture 13: Parametric regression models and methods 

Note 5

Lecture 14: Parametric regression models and methods  (Homework 4, solution)

 

Week 8

Lecture 15: Parametric regression models and methods   (A reference paper

Mid-term Exam, February 25, Thursday, 11:45-1:00pm (practice)

 

Week 9

Lecture 16: Semi-parametric regression model and methods (An Example)     

Lecture 17: Proportional hazards regression models and methods (Homework 5, solution)

Note 6

Week 10 

Spring Break, no class

slides

Spring Break, no class

 

Week 11

Lecture 18: Proportional hazards regression models and methods  (SAS Example 

Lecture 19: Proportional hazards regression models and methods (R Example 

Note 7

Week 12 

Lecture 20: Proportional hazards regression models and methods  (Homework 6, solution)

 

Spring Holiday, no class

 

Week 13 

Lecture 21: Proportional hazards regression models with time-dependent covariates 

Note 8

 

Lecture 22: Proportional hazards regression models with time-dependent covariates

paper

Week 14

Lecture 23: Proportional hazards regression models with time-dependent covariates (Homework 7, solution) 

 

Lecture 24: Proportional hazards regression models with categorical covariates

Note 8.c

Week 15 

Lecture 25: Other semiparametric regression models and methods

 

 

Lecture 26: Other semiparametric regression models and methods

Note 9

Week 16

Lecture 27: Brief introduction for multivariate survival analysis 

Example 1

Lecture 28: Brief introduction for multivariate survival analysis 

Example 2

Final Exam

May 5th, Thursday, 8:00-11:00am  (practice exam)