This workshop provides an introduction to the increasingly popular methodology of survival/event history/duration analysis in the medical, social, behavioral, economics, business, marketing, and educational sciences. The fundamental concepts of censoring, survival function and hazard function are initially discussed, and a nonparametric procedure is outlined of survival function estimation and 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 violated. Throughout the workshop, illustrative empirical data examples are utilized and the popular statistical package STATA is employed on them.