Workshop: Challenges in Prediction Modelling in Psychiatry

This is the inaugural workshop of the NIHR Maudsley BRC’s new Prediction Modelling Group. We will be joined by five world-renowned experts in clinical prediction modelling, who will address a variety of topics to pave the way for a discussion about some of the challenges we face, and potential solutions.

In the era of personalised medicine, clinical prediction modelling has a range of important functions, including:

• providing risk estimates for having or developing a disease
• making prognoses about the likely course of a clinical condition
• predicting the best treatment

Clinical prediction modelling is thus essential for medical decision-making and is the backbone of precision medicine. While progress has been made in many medical areas with well-defined diseases (such as cancer, for example), psychiatry is yet to benefit from many of the new technologies that are already integral to other areas of medicine.

This workshop is an opportunity to become part of a community of interested researchers in clinical prediction models, including psychiatrists, psychologists, statisticians, computer scientists, informaticians and others, to identify challenges, discuss possible solutions, exchange expertise and forge collaborative links. 

Draft programme:  

Ewout Steyerberg: Professor in Clinical Biostatistics and Medical Decision Making at Leiden University Medical Center and Erasmus MC Rotterdam): Challenges in Clinical Prediction Modelling

Richard D. Riley: Professor of Biostatistics, School of Primary, Community and Social Care, Keele University: Sample size issues in prediction modelling 

Gary Collins: Professor of Medical Statistics, Director of the UK EQUATOR Centre, Oxford University: Reporting the development and validation of prediction modelling: The TRIPOD statement (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis Initiative) 

Tjeerd van Staa: Professor of Health e-Research, Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Manchester University: Risk prediction with routinely collected data: how accurate are these predictions and when can we use these clinically? 

Palo Fusar-Poli: Reader of Psychiatry & Youth Mental Health, IoPPN, King's College London: Implementation of prognostic models in clinical practice: a case study

There will be a drinks reception to follow.

If you are a clinician at the South London and Maudsley NHS Foundation Trust, this workshop can count towards your Continuous Professional Development. 

Please register as numbers are limited and booking is essential. 

If you have any queries, please email Daniel Stahl: daniel.r.stahl@kcl.ac.uk