Multivariate Data Modelling Group

We have established a research group in the area of multivariate modelling aimed to develop and apply methodologies and disseminate concepts among researchers and clinicians. The group has expertise in the development and application of clinical prediction models, classification techniques, analysis of multilevel and longitudinal datasets, Bayesian computational techniques (Variational approximations), feature selection and merging of large datasets from multiple sources.

We aim to address research questions such as 'to predict the risk that a person will develop a particular condition/disease by looking at a range of clinical biomarkers over time', 'classification of individuals into groups based on a set of biomarkers (e.g, diagnosis)', ’to identify a set of underlying factors explaining the variables in a dataset and its natural clustering’, etc.