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Department: Biostatistics
Term: 1st term
Credits: 3 credits
Contact: Mei-Cheng Wang
Academic Year: 2013 - 2014
Course 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 Objective(s):
Upon successfully completing this course, students will be able to:
Explain fundamental concepts in survival analysis
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.
Location: East Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Lab Times:
  • Tuesday 10:30 - 11:20
  • Wednesday 10:30 - 11:20
Enrollment Minimum: 10
Instructor Consent: Consent required for some students

Consent required for non-Biostatistics students

For consent, contact:

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

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail
Special Comments: Students must attend 2 one-hour lab sessions per week.