Overview
Survival analysis (also known as time-to-event analysis) is used to model the time until an event of interest occurs. A key challenge in survival analysis is censoring, where the event hasn't happened for some subjects by the end of the study.
Key Concepts
- Survival Function: The probability that a subject survives beyond a certain time.
- Hazard Function: The instantaneous rate at which events occur.
- Kaplan-Meier Estimator: A non-parametric statistic used to estimate the survival function.
Use Cases
- Medical research (time until death or relapse).
- Engineering (time until a component fails).
- Business (customer churn analysis).