140.641.01 SURVIVAL ANALYSIS I
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.
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
- Tuesday 3:30 - 4:50
- Thursday 3:30 - 4:50
Biostatistics 140.651 or equivalent. Knowledge of probability and statistical theory is required. Non-biostatistics students need permission from instructor.