This is a past event
This is the next of a series of seminars organised through the cross-IAHS Methodological Innovation Group. The idea behind the seminars is to promote knowledge and understanding of state-of-the-art methods relevant to IAHS research.
This talk will provide a deep dive on the methods of Clinical Prediction Modelling and will be led by David McLernon from the Biostatistics and Health Data Science Group. Clinical prediction models are algorithms developed using statistical modelling or machine learning that combines patient characteristics to predict a diagnostic or prognostic outcome. They can be used to inform patients of their risk of some health outcome or to support clinical decisions around referral or treatment. It is important that such models are developed and assessed appropriately to ensure predictions are accurate and do not lead to harmful decision-making. David will focus on some of the critical issues to consider before, during and after model development that are often ignored or addressed poorly.
The talk will be held in the IMS Level 7 conference room – a Teams link will also be available for those who cannot attend in person.
- Speaker
- David McLernon