Survival analysis is the analysis of data representing the time to occurrence of a certain event or endpoint (time-to-event data). The aim of this course is to explain the special features of time-to-event data and introduce methods and models available to deal with them. These include parametric models such as exponential and Weibull, nonparametric methods such as the Kaplan-Meier estimator and the log-rank test, and the semi-parametric Cox proportional hazards model, including extensions to stratified models and time-dependent covariates; introduction to counting processes, frailty and other methods for multivariate survival data. Extensive use will be made of statistical computing with R in the analysis of real data.