This workshop provides an introduction to the increasingly popular methodology of survival, event history or duration analysis in the medical, social, behavioral, organizational, business, marketing and economics disciplines. The fundamental concepts of censoring, survival function and hazard function are initially discussed, and a nonparametric procedure is outlined of survival function estimation as well as its comparison across groups via the Kaplan-Meier product limit estimator. The widely used Cox’ proportional hazards model is then focused on. Methods for examining possible violations of its assumptions are also indicated, as are extensions of the model when they are not fulfilled. Throughout the workshop, empirical data are used to illustrate these concepts, and the popular statistical package STATA is utilized on them.