Date(s) - 29/10/2019
1:00 pm - 5:00 pm

NIHR Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London
16th Floor, Tower Wing, Guy’s Hospital, Great Maze Pond

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.

Who can attend?

The courses are free for health care professionals employed by organisations associated with the National Institute of Health Research Biomedical Research Centre at Guy’s & St Thomas’ and King’s College London:

  • King’s College London
  • Guy’s and St Thomas’ NHS Foundation Trust
  • South London and the Maudsley NHS Foundation Trust
  • King’s College Hospital NHS Foundation Trust
  • St George’s University of London
  • St George’s Hospitals NHS Foundation Trust

Places are booked on a first come, first served basis. If the module is full, your name will be placed on a waiting list and if a place becomes available you will contacted at the latest 72 hours beforehand.

Non Attendance Policy

The courses in this programme are very popular and are often oversubscribed. If you are unable to attend a course you are booked on to you must notify us 72 hours in advance so we can offer the place to someone else.

If you do not attend on the day and are unable to provide a satisfactory explanation you may be removed from future course bookings.

For further information please contact the NIHR Guy’s and St Thomas’ BRC Research Training Programme at