Building and validating prediction models

In this talk Joie discusses some of the considerations when deciding how much data is ‘enough’ when looking to i) develop a new clinical prediction model (CPM) and ii) validate an existing CPM. When designing a study to develop a new CPM, researchers must ensure a large enough sample size to develop a model that predicts as accurately as possible. Conversely, when designing a study to validate an existing CPM, we must ensure a sample size large enough to estimate model performance accurately and precisely in an external sample.
Joie Ensor is a Lecturer in Medical Statistics at Keele University where he works primarily within the Centre for Prognosis Research. His research interests focus on methodological advances in prediction modelling, model validation, IPD meta-analysis, and diagnostic test evaluation. Joie is also a keen programmer, writing statistical software to enable others to use novel methodology.
View Joie's slides at bit.ly/3dBd3E8
Prediction Modelling Group
The 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, who are interested in prediction modelling applications for precision medicine.
For more information, please visit our webpages: www.maudsleybrc.nihr.ac.uk/fa...