Course summary
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, including the management and analysis of large e-health datasets and complex statistical modelling of high-dimensional biomarker data and clustered or correlated outcomes. In particular, our research covers:
- Modern statistical approaches to causal inference
- The design and analysis of randomised trials and other clinical experiments (including the evaluation of complex interventions)
- 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.
- Prediction/prognostic modelling.
Entry requirements
We require applicants to hold, or be about to obtain, an Upper Second class Honours degree (or overseas equivalent) in a related subject area for entry to a PhD programme. A Lower Second class Honours degree may be considered if applicants also hold a Master's degree with a Merit classification.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL