Current PhD Opportunities at the MRC Biostatistics Unit
The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences. Details of the work carried out in the Unit appear on our Research page.
We are currently recruiting for 4 (four) MRC funded BSU studentships and 1 (one) EPSRC funded iCASE studentship.
We currently have the following projects available at the MRC Biostatistics Unit. To apply for any of the following PhD projects, please visit the Applications procedures page.
Deadline for all application information to be received by the University application system is Thursday 4th January 2018
- Statistical methods for assessing and using chromatin structure and accessibility to understand gene regulation and human phenotypes – Chris Wallace (EPSRC iCASE)
- Matching approaches for efficient and robust causal inferences in Mendelian randomization – Stephen Burgess
- Bayesian dose adaptive trials using non-myopic response-adaptive methods – Sofia Villar and Adrian Mander
- Methods for joining and splitting complex/big models – Robert Goudie and Lorenz Wernisch
- Personalised screening schedules for cardiovascular disease using patient history – Jessica Barrett
- Dimension reduction techniques in the field of brain imaging – Simon White
- Evidence synthesis for estimating incidence of chronic diseases – Chris Jackson, Daniela De Angelis and Anne Presanis
- Subgroup identification for treatment response using observational cohort data in the presence of complex confounding– Li Su and Shaun Seaman
- Design and analysis of crossover clinical trials with non-normally distributed outcome variables – Adrian Mander and Michael Grayling
- Adaptive designs for longitudinal trials to efficiently estimate biomarker change-point outcomes and time-to-change-point – Simon White
- Developing Bayesian non-myopic response-adaptive randomisation for the case of delayed endpoint observation – Sofia Villar and Adrian Mander
- Improving power and methods to systematically detect conflict in evidence synthesis – Anne Presanis and Daniela De Angelis
- Statistical inference for response-adaptive clinical trials – Adrian Mander, James Wason and David Robertson