Introduction to Clinical Prediction Models

12th May 2025

Duration: Half-Day -all course material will be made available 7 days in advance and for 2 weeks afterwards

Mode: Online with recorded lectures followed by live question & answer sessions and live faculty-led computer practical sessions

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