Skip Navigation

Course Directory

Advanced Survival Analysis

East Baltimore
2nd term
3 credits
Academic Year:
2021 - 2022
Instruction Method:
Class Times:
  • M W,  10:30 - 11:50am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Mei-Cheng Wang
Frequency Schedule:
Every Other Year
Next Offered:
2023 - 2024

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.


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 Objectives:

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

  1. Conduct statistical analysis for numerous types of sophisticated survival data
  2. Discuss papers published in statistical journals
  3. Provide examples of prevalent and multivariate survival data arising in public health studies
  4. Discuss dissertation topics in advanced survival analysis
Methods of Assessment:

A topic report together with a 25-minute presentation

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for non-Biostatistics students

For consent, contact: