Description

Survival analysis course introduces concepts, statistical models and methods for analyzing time-to-event data. It provides an introduction to concepts for analyzing time-to-event data such as censoring and truncation, functions used in modeling time-to-event data, some distributions to model time-to-event, likelihood construction, parametric models for one sample problems and inference procedures for parametric models, non-parametric methods for one sample problems, parametric regression models including proportional hazards regression model and accelerated failure time models, semi-parametric regression models, multi-state models and competing risks. This course is designed both to provide a theoretical and methodological foundation for the analysis of time-to-event data and to show and discuss applications of the statistical models and methods.

Prerequisites

An undergraduate level background in statistical inference and experience using the statistical software package R is expected.

Basic References

• Lawless, J. F. (2003). Statistical models and methods for lifetime data, 2nd edition. Wiley, New Jersey.
• Kalbfleisch, J. D. and Prentice, R. L. (2002). The statistical analysis of failure time data, 2nd edition. Wiley, New Jersey.