140.641.01 SURVIVAL ANALYSIS I
- 1st term
- 3 credits
- Academic Year:
- 2012 - 2013
- East Baltimore
- Class Times:
- Tu Th, 3:30 - 4:50pm
Biostatistics 140.651 or equivalent. Knowledge of probability and statistical theory is required. Non-biostatistics students need permission from 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 Objectives:
- 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.
- Instructor Consent:
Consent required for some students
- Consent Note:
Consent required for non-Biostatistics students
- For consent, contact: