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140.641.01 Survival Analysis I

1st term
3 credits
Academic Year:
2013 - 2014
East Baltimore
Class Times:
  • Tu Th,  3:30 - 4:50pm
Lab Times:
  • Tuesday,  10:30 - 11:20am (01)
  • Wednesday,  10:30 - 11:20am (02)
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 probability and statistical theory is required. Non-biostatistics students need permission from instructor.


Discusses basic concepts of survival analysis, including hazard functions, survival functions, types of censoring and truncation, Kaplan-Meier estimates, log-rank tests and their generalization. Parametric inference includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Statistical methods and theory for the proportional hazard models (Cox model) discussed in detail, with extensions to time-dependent covariates. Clinical and epidemiological examples included in class presentation and homework illustrate various statistical procedures.

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
Methods of Assessment:

Student evaluation based on problem sets and an exam.

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.