Performance comparison of dynamic prediction based on joint models and landmark analysis

In conventional prediction models, predictors are typically measured at a single fixed time point such as at baseline or the most recent follow-up. Dynamic prediction has emerged as a more appealing prediction technique that takes account of longitudinal history of biomarkers for making predictions. In this talk Dr Mizanur Khondoker presents results from a simulation study comparing the prediction performance of two well-known approaches for dynamic prediction, namely joint modelling and landmarking approaches.

Dr Mizanur Khondoker is an Associate Professor in Medical Statistics at the Norwich Medical School, University of East Anglia.

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: https://maudsleybrc.nihr.ac.uk/facilities/prediction-modelling-group/

Видео Performance comparison of dynamic prediction based on joint models and landmark analysis канала NIHR Maudsley BRC