Survival analysis
Time-to-event analysis handles outcome timing and censored follow-up. It is used when observation periods differ or not every participant experiences the event.
Open interactive lesson & self-check ↗Survival analysis — learning map
Original conceptual SVG · scalableOriginal schematic relationship map for this topic; relationships are organized for study, not intended as an anatomical depiction or a diagnostic algorithm.
Time origin and event
Specify entry, event definition, competing events and what constitutes the end of observation before analysis.
Censoring
Right censoring means the event has not been observed before follow-up ends; valid inference depends on assumptions about the censoring process.
Kaplan–Meier estimation
A product-limit estimator summarizes the probability of remaining event-free across observed event times, under suitable assumptions.
Cox proportional hazards
A Cox model relates predictors to the hazard; proportionality and event definitions should be assessed before interpreting the hazard ratio.
Reference and next reading
Explore the original curriculum and publisher-hosted resources for full-depth reading; this note is an original schematic introduction, not an exhaustive chapter.