Introduction to Clinical Prediction Models

If you would like to pay using a university cost centre please contact HDSSEO@liverpool to arrange.
Mode:  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 2 weeks afterwards 
Please note that bookings will close 2 weeks prior to the course start

TWO DATES AVAILABLE FOR LIVE SESSIONS:

17th November 2025
27th April 2026

This course is aimed at researchers who require a basic understanding of prediction modelling as part of their research studies. It is suitable for those who have no previous experience of prediction modelling, as well as those seeking to refresh their skills.

Clinical prediction models combine multiple pieces of patient information in order to predict a clinical outcome. This full-day course includes lectures and practical sessions, and aims to give its delegates an introduction to the clinical reasoning and statistical methodology behind clinical prediction models.

Course Description

By the end of this course delegates will have an understanding of:
• What a prediction model is
• How to develop a clinical prediction model
• How to validate a clinical prediction model
• How to present a clinical prediction model for a clinical audience

What does the course cover?

• Diagnostic & prognostic models
• Systematic reviews of prognostic factors & models
• Logistic regression & survival analysis for model development
• Discrimination & calibration statistics
• Internal & external validation
• Point score systems, nomograms & websites