Survival Analysis

3 units

Survival analysis is a collection of statistical methods used to address questions that have to do with whether and when an event of interest takes place. It is the analysis of data that correspond to the time from a well-defined time origin until the occurrence of some particular event or end-point (Collett, 1994). In this course, students will learn fundamental concepts and skills to conduct survival analysis, and know how to apply these techniques to social, behavioral, and health research. The topics covered by this course include types of censoring mechanisms, descriptive methods for survival data including the life table and Kaplan-Meier methods, the discrete-time models, the Cox proportional hazards model, the parametric regression models, competing risks survival analysis, and multivariate analysis of autocorrelated time-to-event data. Students taking this course are assumed to have taken statistics courses on inferential statistics and regression analysis, and know how to run Stata or SAS software package to perform statistical analysis.