Survival analysis is a key method in cancer research, particularly for studying the time until an event of interest, such as death or disease recurrence. The Kaplan-Meier estimator provides a way to estimate the survival function from lifetime data, while the Cox proportional hazards model assesses the effect of variables on survival time. These techniques help in understanding patient prognosis and the effectiveness of treatments.