Title: Trajectories through the disease process
Abstract: In this talk Allan Tucker will explore issues with different methods for collecting and modelling clinical data. He will briefly discuss the advantages and disadvantages of cross-sectional and longitudinal studies, and the modelling of these types of data with the chief aim of forecasting disease progression whilst discovering subclasses of disease based on temporal aspects: This will include novel algorithms for identifying disease subclasses based upon different disease trajectories and disease subclasses based upon different disease dynamics where the process is inherently non-stationary. Finally, he will explore methods for integrating both cross-sectional and longitudinal data into probabilistic models that lever the advantages of both.
No need to book, just turn up.