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Course Catalog


Department: Biostatistics
Term: 2nd term
Credits: 3 credits
Contact: Mei-Cheng Wang
Academic Year: 2013 - 2014
Course Instructor:

Introduces statistical models and methods useful for analyzing univariate and multivariate failure time data. Extends Survival Analysis I to topics on length-bias and prevalent samplings, martingale theory, multivariate survival data, time-dependent ROC analysis, and recurrent event processes. Emphasizes nonparametric and semiparametric approaches for modeling, estimation and inferential results. Clinical and epidemiological examples included in class presentation illustrate statistical procedures.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Conduct statistical analysis for numerous types of sophisticated survival data
Discuss papers published in statistical journals
Provide examples of prevalent and multivariate survival data arising in public health studies
discuss dissertation topics in advanced survival analysis

Methods of Assessment: Homework sets and in-class exam
Location: East Baltimore
Class Times:
  • Tuesday 3:30 - 4:50
  • Thursday 3:30 - 4:50
Enrollment Minimum: 10
Instructor Consent: Consent required for some students

Consent required for non-Biostatistics students

For consent, contact:

Biostatistics 140.651 or equivalent, and 140.641 (Survival Analysis I ). 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