Survival analysis is vital for several reasons. It allows researchers to handle censored data, where the event of interest hasn't occurred by the end of the study. This type of analysis is essential for the development of prognostic models and helps in comparing the effectiveness of different treatments. Moreover, it provides insights into the natural history of diseases and helps in identifying factors that influence survival.