Underpinning all our work in collaborative clinical and healthcare research is a vibrant programme of MRC-funded methodological research that is primarily focussed on modern statistical and econometric approaches to causal inference, which is one of the two methodological priorities of the Institute of Population Health.
These methodological developments have application in the interpretation of routinely collected medical records (as in eHealth), formally designed epidemiological studies and quasi experiments, and, in particular, inferences concerning treatment-effect mechanisms (mediation) in randomised controlled trials and their application to the development of personalised (stratified) health care.
Members of the Centre are investigators in the MRC North West Hub for Trials Methodology Research and the MRC Health eResearch Centre.
Methodological interests and strengths
The Centre staff have a wide range of methodological interests and strengths including:
- Modern statistical approaches to causal inference;
- The design and analysis of randomised trials and other clinical experiments (including the evaluation of complex interventions);
- The design and analysis of epidemiological and other observational studies;
- The management and analysis of large ehealth data sets;
- Complex statistical modelling, including the use of Bayesian methods, including applications to high-dimensional biomarker data and clustered or correlated outcomes arising from measurements repeated over time (including repeated events or interventions);
- Interventions being provided to groups of participants rather than individuals;
- Measurement error evaluation and modelling;
- Genetic epidemiology;
- Survival, event-history and frailty models.