Introduction to Survival Analysis

If you would like to pay using a university cost centre please contact HDSSEO@liverpool to arrange.
Mode:  one day course delivered online, with recorded lectures followed by live Q&A sessions and live faculty-led computer practical sessions. All course material will be made available 7 days in advance and for 3 months afterwards
Please note that bookings will close 2 weeks prior to the course start

TWO DATES AVAILABLE FOR LIVE SESSIONS:
17th November 2026
or
20th April 2027

This course is suitable for those who have no previous experience of data analysis, as well as those seeking to refresh their skills. 

Time-to-event data are collected when individuals are followed over time. This course aims to provide grounding in statistical concepts and methods for the analysis of time-to-event data. Course participants will also gain an understanding of the design issues involved and learn to apply these methods using SPSS/R software, as well as find out how to interpret their results.

Course Description

By the end of this course delegates will:
• Be able to use various statistical methods to summarise and analyse time-to-event data
• Have an appreciation of how to analyse their data and interpret their results
• Have an understanding of how to use standard statistical software in this analysis

What does the course cover?

• Introduction to survival data including the concept of censoring
• Comparing survival between groups using Kaplan-Meier curves and log-rank tests
• Regression modelling and variable selection including the Cox model and other alternative models
• Design issues such as choice of endpoint and sample size calculations
• Introduction to software which can assist these processes