Advanced Survival Analysis

1 Course Unit

This advanced survival analysis course will cover statistical theory in counting processes, large sample theory using martingales, and other state of the art theoretical concepts useful in modern survival analysis research. Examples in deriving rank-based tests and Cox regression models as well as their asymptotic properties will be demonstrated using these theoretical concepts. Additional potential topics may include competing risk, recurrent event analysis, multivariate failure time analysis, joint modeling of survival and longitudinal data, sample size calculations, multi-state models, and complex sampling schemes involving failure time data. In addition to satisfying course prerequisites, permission of instructor is required. Fall Prerequisite: BSTA 6220 1 Course Unit