140.641.01
Survival Analysis
Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2017 - 2018
Instruction Method
TBD
Tu, Th, 3:30 - 4:50pm
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 Year
Resources
Prerequisite
Biostatistics 140.651 or equivalent. Knowledge of fundamental probability and statistical theory is required. Non-biostatistics students need permission from instructor.
Introduces fundamental concepts, theory and methods in survival analysis. Emphasizes statistical tools and model interpretations which are useful in medical follow-up studies and in general time-to-event studies. Includes hazard functions, survival functions, types of censoring and truncation, Kaplan-Meier estimates, log-rank tests and their generalization. For parametric inference, includes likelihood estimation and the exponential, Weibull, log-logistic and other relevant distributions. Discusses in detail statistical methods and theory for the proportional hazard models (Cox model), with extensions to time-dependent covariates. Includes clinical and epidemiological examples (through class presentations). Illustrates various statistical procedures (through homework assignments).
Learning Objectives
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
- Properly use software and packages to conduct time-to-event data analysis
Students must attend 2 one-hour lab sessions per week.