Standard syllabus
Survival analysis · Graduate · Statistics
Topics
Survival data basics
- Censoring and truncation
- Survival and hazard functions
- Kaplan–Meier estimator
- Nelson–Aalen cumulative hazard
- Comparison of survival curves: log-rank test
Regression models
- Cox proportional hazards model
- Partial likelihood estimation
- Time-dependent covariates (introduction)
- Accelerated failure time models (overview)
- Model checking: Schoenfeld residuals
Advanced topics
- Competing risks (introduction)
- Frailty models (overview)
- Sample size for survival studies
- Power under proportional hazards
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.