Glen undertakes both applied and methodological research, predominately in the field of predictive/prognostic modelling. Here, we are interested in using the experiences of past patients to make predictions about risk of likely outcomes in future patients, to support clinical decision-making.
With an overarching goal of improving the way prediction models are used in routinely collected health data, Glen's research can be summarised into four pillars of research interests:
1) Understanding the mechanisms that underpin the collection/recording of observational data and incorporating such understanding into risk prediction models.
2) Investigating methods of incorporating causal modelling methods into prediction models to allow users of such tools to ask ‘what-if’ questions around patient care/ treatment.
3) Improving the way existing knowledge/research is used or incorporated into predictive models
4) Apply existing and novel statistical methodologies into real-world clinical/applied investigations