Survival analysis is used to analyze time-to-event data. It helps in estimating the time until an event of interest, such as death or disease recurrence, occurs. The Kaplan-Meier method and Cox proportional hazards model are commonly used techniques. These methods provide insights into the survival probabilities and the effect of covariates on survival times.
