Level: BSc, MSci
Title: Survival analysis
Supervisor:

Dr Lawrence Pettit
Research Area: Probability and Applications [Including Statistics]
Description:

Many datasets consist of the times to an event of interest. Examples include the length of time machines run before a breakdown or the length of time people live after a heart attack. Often we will also be interested if a ‘treatment’, such as the type of oil used in the machine or the different doses of a drug, has an effect. Such data often has complications due to censoring. For example some machines may not have had a breakdown or people are still alive when the study comes to an end. In this project you will learn about some of the methods used to analyse such data and apply them to a suitable set of data.
Further Reading:
  • D.G. Kleinbaum, Survival analysis, a self-learning text. Springer-Verlag, New York, 1995.
  • M. Crowder, A. Kimber, R. Smith, and T. Sweeting, Statistical analysis of reliability data. Chapman and Hall, London, 1991.
  • D. Cox and D. Oakes, Analysis of survival data. Chapman and Hall, London, 1984.
Key Modules:

MTH5122 Statistical Methods

MTH6136 Statistical Theory (useful for MSci students)

MTH6134 Statistical Modelling II (useful for MSci students)
Other Information:
Current Availability: Yes