Stat 6505 Survival analysis

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.

Contact

Mathematics and Statistics

230 Elizabeth Ave, St. John's, NL, CANADA, A1B 3X9

Postal Address: P.O. Box 4200, St. John's, NL, CANADA, A1C 5S7

Tel: (709) 864-8000