ST745 - Analysis of Survival Data


Lectures: T, TH 1:30-2:45pm, TOMPKINS G0112. Syllabus 

Office Hours: F 1:00-3:00pm, 210E Patterson Hall (or by appointment)

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

Reference Books:
  • Survival Analysis by Rupert G. Miller Jr.(1981) 
  • The Statistical Analysis of Failure Time Data by John D. Kalbfleisch and Ross L. Prentice (2002, 2nd Ed.)
  • Modeling Survival Data: Extending the Cox Model by Terry M. Therneau and Patricia M. Grambsch (2000)

    Useful Links:
  • Modeling Survival Data: Expending the Cox Model by Therneau and Grambsch.
  • Survival Analysis Using The SAS System: A Practical Guide by Allison.
  • Instructional Labs on Statistics using R



    Course Schedule
    Week 1 (Jan. 10) Lecture 1: Introduction for survival data (chap 1, 3) Note 1
     
    Week 2 (Jan. 15, 17) Lecture 2: Basic quantities describing the distribution of survival times (chap 2) Note 2
    Lecture 3: Parametric models and methods for censored survival data (chap 2, 3), Homework 1 (Jan. 17)  
    Week 3 (Jan. 22, 24) Lecture 4: Parametric models and methods for censored survival data (chap 2, 3) Note 3
    Lecture 5: Nonparametric estimation methods (chap 4),  
    Week 4 (Jan. 29, 31) Lecture 6: Nonparametric estimation methods (chap 4),                   Homework 2 (Jan. 29)  
    Lecture 7: Nonparametric estimation methods (chap 4) 
     
    Week 5 (Feb. 5, 7) Lecture 8: Nonparametric estimation methods (chap 4)  Note 4
    Lecture 9: Two (K) sample problems (chap 7)
    Week 6 (Feb. 12, 14)  Lecture 10: Two (K) sample problems (chap 7), Homework 3 (Feb. 12)  
    Lecture 11: Two (K) sample problems (chap 7) Note 5
     
    Week 7 (Feb. 19, 21) Lecture 12: Parametric regression models and methods (chap 12)  
    Lecture 13: Parametric regression models and methods (chap 12)
    Week 8 (Feb. 26)  Lecture 14: Parametric regression models and methods (chap 12),  Homework 4 (Feb. 26)  
    Midterm Exam  Feb. 28th, Thursday
    Week 9 (Mar. 3-7)  Spring break (no class)  
    Spring break (no class)
    Week 10 (Mar. 11, 13)  Lecture 15: Parametric regression models and methods (chap 12)       Note 6
      Lecture 16: Proportional hazards regression models and methods (chap 8), Homework 5 (Mar. 13)
    Week 11 (Mar. 18, 20) Lecture 17: Proportional hazards regression models and methods (chap 8)   
    Lecture 18: Proportional hazards regression models and methods (chap 8)
    Week 12 (Mar. 25, 27)  Lecture 19: Proportional hazards regression models and methods (chap 8), Homework 6 (Mar. 25)  Note 7
      Lecture 20: Proportional hazards regression models and methods (chap 8)
    Week 13 (Apr. 1, 3) Lecture 21: Proportional hazards regression models with time-dependent covariates (chap 9)  
      Lecture 22: Proportional hazards regression models with time-dependent covariates (chap 9) Note 8
    Week 14 (Apr. 8, 10)  Lecture 23: Proportional hazards regression models with time-dependent covariates (chap 9)  Homework 7 (Apr. 8) Note 8.c
    Lecture 24: Other semiparametric regression models and methods
     
    Week 15 (Apr. 15, 17)  Lecture 25: Other semiparametric regression models and methods Note 9
      Lecture 26: Cancelled!!!  
    Week 16 (Apr. 22, 24)  Lecture 27: Brief introduction for multivariate survival analysis (chap 11)  
      Lecture 28: Brief introduction for multivariate survival analysis (chap 11)  
     
    Final Exam May 6th, Tuesday, 1:00-4:00pm