Advanced Survival Analysis

3 Credits · Level: Graduate

The course will provide the statistical models and methods and their recent advancement in the analysis of survival data. It will be oriented toward application and interpretation of various methodologies. It includes counting processes and asymptotic theory, rank regression and the accelerated failure time model, competing risks and multistate models, correlation analysis and multivariate survival data, analysis of interval-censored failure time data, Bayesian methods, joint modeling of longitudinal data and survival data analysis.