Shot of IoPPN lecture theatre during BRC Conference with people walking down steps

Prediction Modelling Workshop


The inaugural workshop of our Prediction Modelling Group took place in December 2019 where we were joined by five leading experts in clinical prediction modelling, who addressed a variety of topics to pave the way for a discussion about some of the challenges we face, and potential solutions.

You can find the videos from the day below.

Welcome and opening

Matthew Hotopf CBE, Professor of General Hospital Psychiatry and Director of the NIHR Maudsley Biomedical Research Centre

 

Introduction to the Workshop and BRC Prediction modelling group

Daniel Stahl, Professor of Biostatistics and Statistical Learning, Precision Medicine and Statistical Learning Group, IoPPN, King's College London

 

Sample size issues in prediction modelling

Richard Riley, Professor of Biostatistics, School of Primary, Community and Social Care, Keele University

 

Challenges in Clinical Prediction Modelling

Ewout Steyerberg, Professor in Clinical Biostatistics and Medical Decision Making at Leiden University Medical Centre and Erasmus MC Rotterdam

 

Issues in the conduct and reporting of multivariable prediction models

Gary Collins, Professor of Medical Statistics, Director of the UK EQUATOR Centre, Oxford University

 

Risk prediction with routinely collected data: how accurate are these predictions and when can we use these clinically?

Tjeerd van Staa, Professor of Health e-Research, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester University

 

Implementation of prognostic models in clinical practice: a case study

Paolo Fusar-Poli, Reader of Psychiatry & Youth Mental Health, Psychosis Studies, IoPPN, King's College London:

 

About precision medicine and prediction modelling

About precision medicine and prediction modelling

Precision medicine is an emerging approach that focuses on identifying treatments or approaches.
Initiatives and aims

Initiatives and aims

We are finding prediction modelling researchers to establish an online database listing members’ areas of interest and expertise.
People

People

Meet the current members of the group and discover their areas of interest.
Ethics

Ethics

Predictive models that use data from individuals are an important source of information in medical settings.
Join our prediction modelling group

Join our prediction modelling group

Joining our group helps create our database of researchers and establish collaborations within our institution and beyond.
Prediction Modelling Workshop

Prediction Modelling Workshop

Videos from the inaugural workshop of our Prediction Modelling Group including presentations from world-renowned experts.
Prediction Modelling Presentations

Prediction Modelling Presentations

Our Prediction Modelling group will be hosting regular presentations to engage and introduce new members to our community.
Implementation research

Implementation research

Our Prediction Modelling Group provides innovative approaches to tackle this translational gap and advance implementation science.
Training in methodological skills for Prediction Modelling

Training

Find out more about our training in methodological skills for Prediction Modelling.
Analytical tools for machine learning

Analytical tools for machine learning

We develop open tools and pipelines based on modern machine learning and prediction modelling methods to facilitate their analysis.