This module will cover more advanced topics in survival analysis, with an emphasis on applications in clinical trials. Knowledge of material in the Module 12: Introduction to Survival Analysis will be assumed.

• Introduce methods suitable for examining the adjusted association between an explanatory variable and a censored event-data outcome.
• Cover the important choice of the time scale for the analysis, and discuss how to make appropriate inferences when there are competing risks.
• Cover time-dependent covariates and time-dependent stratification in a Cox regression model, including assumptions made by and effects of various covariate adjustment methods.

The course will focus on application and understanding the concepts; mathematical details will be kept to a minimum.