140.741.01
Advanced Survival Analysis
Course Status
Cancelled
Course Status
Cancelled
Location
East Baltimore
Term
2nd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2023 - 2024
Instruction Method
In-person
M, W, 10:30 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Other Year
Resources
Prerequisite
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:
- 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