Who is the course for?

This is an introductory/intermediate course for anyone who would like to understand more about time-to-event analysis and related tests that are reported in many medical journals; when are they appropriate to use? The course covers the statistical concepts and methods required for describing and analysing survival data arising in clinical studies. The use of specific statistical packages will not be covered.

Course description

The course covers important concepts such as Kaplan Meier estimator to estimate the survival probabilities from time-to-event data and testing these using log-rank, as well as issues such as the use of hazard risk, and how to deal with confounding factors using Cox proportional hazard. 

This course will include the following:

  • Introduction survival analysis
  • Construct and interpret graphical methods for presenting survival time data
  • Test the equality of survival curves
  • Multivariable regression models for survival time data.

Learning objectives

By the end of the course, participants should be able to:

  • Summarise survival data appropriately
  • Conduct time-to-event analysis using Kaplan Meier and log-rank test
  • Conduct Cox proportional hazard multivariable regression
  • Interpret results and draw conclusions more carefully from survival analyses

About the trainer

Dr Abdel Douiri is a Senior Lecturer in Medical Statistics in the School of Medicine, King’s College London. Abdel is the module lead of Further Statistics and Epidemiology for Master of Public Health. He is also experienced in consulting with clinical researchers, and has experience teaching a wide range of topics and short courses in medical statistics.