Survival Analysis, Event History Modeling, and Duration Analysis (Berkeley, CA)


This course is concerned with the increasingly popular methodology of survival analysis, event history modeling, or duration analysis in the social, behavioral, medical, and life sciences as well as the educational, economics, business, and marketing disciplines. The fundamental concepts of censoring, survival function, and hazard function are initially discussed. The interrelationship between the survival and hazard functions as well as their relations to the distribution of the underlying time to event are then examined. A procedure is next outlined of survival function estimation as well as its comparison across groups via the popular Kaplan-Meier product limit estimator. The widely used Cox proportional hazards model is subsequently focused on. Methods for examining possible violations of its assumptions are also discussed, as are corresponding extensions of this modeling framework. Models containing explanatory variables measured with error are then focused on. Competing risks, recurrent events and parametric models are similarly covered. In addition, the issues of model fit assessment, model building, and clustering (nesting) effects in hierarchical data settings are also discussed, as are frailties and analysis of time to event data from nationally representative studies. The workshop covers both continuous time and discrete time survival analysis, and a range of classical as well as modern topics within the survival/event history/duration analysis framework. Throughout the course, multiple empirical data examples are utilized from the social, behavioral, and biomedical sciences. The popular statistical packages Stata and SPSS are thereby used, as are R and Mplus on a number of occasions, for time to event modeling illustration purposes. No prior knowledge of any of these packages is required or assumed, and a brief introduction to them is also provided.

Fee: Members = $1500; Non-members = $2800

Tags: Survival Analysis, Event History, Duration Analysis

Course Sections