Survival analysis
Graduate · Math
Syllabus focus
Topics typically covered
Click a topic for the full text and related unit practice.
Graduate Survival analysis — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).
Survival data basics
- Censoring and truncation — Censoring and truncation
- Survival and hazard functions — Survival and hazard functions
- Kaplan–Meier estimator — Kaplan–Meier estimator
- Nelson–Aalen cumulative hazard — Nelson–Aalen cumulative hazard
- Comparison of survival curves: log-rank test — Comparison of survival curves: log-rank test
Regression models
- Cox proportional hazards model — Cox proportional hazards model
- Partial likelihood estimation — Partial likelihood estimation
- Time-dependent covariates (introduction) — Time-dependent covariates (introduction)
- Accelerated failure time models (overview) — Accelerated failure time models (overview)
- Model checking: Schoenfeld residuals — Model checking: Schoenfeld residuals
Advanced topics
- Competing risks (introduction) — Competing risks (introduction)
- Frailty models (overview) — Frailty models (overview)
- Sample size for survival studies — Sample size for survival studies
- Power under proportional hazards — Power under proportional hazards
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Survival data basics
Censoring and truncation
Coming soon - Regression models
Cox proportional hazards model
Coming soon - Advanced topics
Competing risks (introduction)
Coming soon
Notes
Graduate Survival analysis — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable). Topic outline: `content/topics/graduate/survival.json`.