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:

 

Prediction Modelling Group

Prediction Modelling Group

Our Prediction Modelling Group provides a forum for researchers at King's College London’s Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and clinicians at South London and Maudsley NHS Foundation Trust...
Initiatives and aims

Initiatives and aims

We are identifying researchers working in prediction modelling at the IoPPN in order 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. Predictive modelling, or the use of electronic algorithms to forecast future events...
Join our prediction modelling group

Join our prediction modelling group

Joining our group helps create our database of researchers working in prediction modelling. By listing members, interests and expertise we can work more efficiently and to establish collaborations within our institution and beyond.
Prediction Modelling Presentations

Prediction Modelling Presentations

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