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140.641.01 Survival Analysis

1st term
3 credits
Academic Year:
2017 - 2018
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:50pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Mei-Cheng Wang
Course Instructor :

Biostatistics 140.651 or equivalent. Knowledge of fundamental probability and statistical theory is required. Non-biostatistics students need permission from instructor.


Introduces fundamental concepts, theory and methods in survival analysis. Emphasizes statistical tools and model interpretations which are useful in medical follow-up studies and in general time-to-event studies. Includes hazard functions, survival functions, types of censoring and truncation, Kaplan-Meier estimates, log-rank tests and their generalization. For parametric inference, includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Discusses in detail statistical methods and theory for the proportional hazard models (Cox model), with extensions to time-dependent covariates. Includes clinical and epidemiological examples (through class presentations). Illustrates various statistical procedures (through homework assignments).

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Explain fundamental concepts in survival analysis
  2. Describe statistical methods which are useful in medical follow-up studies and in general time-to-event studies
  3. Properly use software and packages to conduct time-to-event data analysis
Methods of Assessment:

Student evaluation based on problem sets (50%) and a final exam (50%).

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for non-Biostatistics students

For consent, contact:

Special Comments:

Students must attend 2 one-hour lab sessions per week.