Biostatistics

Our PhD/MPhil Biostatistics programme enables you to undertake a research project that will improve understanding of Biostatistics.

Underpinning all our work in collaborative clinical and healthcare research is a vibrant programme of methodological research. Our main research themes within biostatistics investigate design and analysis of both randomised trials and epidemiological studies. These include inference from large e-health datasets and statistical modelling of high-dimensional genomic/biomarker data and clustered or correlated outcomes. More information on the research that we conduct at The University of Manchester can be found on the Biostatistics research pages http://research.bmh.manchester.ac.uk/biostatistics/research .

In particular, our research covers:

- Modern statistical approaches to causal inference

- The design and analysis of efficient and adaptive randomised controlled trials

- Meta-analysis

- Inference from large e-health datasets such as CPRD and the HFEA

- Applications of complex statistical modelling, including the use of Bayesian methods, to high-dimensional

genomic/biomarker data, neuroscience and clustered or correlated outcomes arising in assisted reproduction research;
- Computationally intensive statistical methods;

- Genetic epidemiology;

- Prediction/prognostic modelling