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 up to 4 MRC funded BSU studentships to commence in either Easter Term (UK applicants only) or Michaelmas Term 2020.
To apply for a PhD Studentship please visit https://www.mrc-bsu.cam.ac.uk/training/phd/application-procedure/.
Our initial round of recruitment will close on Tuesday January 7th 2020– when we will consider all applications as part of a gathered field at this time.
PLEASE NOTE- 7th January 2020 is the deadline when all of your application material should be on the University application system- you should commence your application as soon as possible to ensure this is the case
List of currently available projects:
- Data-adaptive approaches for causal inference– Stephen Burgess
- Modelling the association between blood pressure variability and cardiovascular disease– Jessica Barrett
- Bayesian dose adaptive trials using non-myopic response-adaptive methods – Sofia Villar and David Robertson
- Evidence synthesis in health impact models for interventions to prevent chronic diseases– Chris Jackson, Anne Presanis and Daniela De Angelis
- Accounting for heterogeneity in network neuroscience: extending the Bayesian Exponential Random Graph Model to infer and identify group differences– Simon White, Brian Tom and Brieuc Lehmann (University of Oxford)
- Conditional false discovery rates in high dimensional data sets– Chris Wallace
- Dynamic prediction of in-patient mortality based on electronic health record data: a comparison of landmarking and machine learning approaches– Steven Kiddle and Jessica Barrett
- Improving statistical methods for trial emulations using observational data– Li Su and Shaun Seaman
- Clinical prediction under informative presence: Exploring what the patterns and timing of repeated observations in routinely collected data can tell us about disease risk– Jessica Barrett and Brian Tom
- Statistical and machine learning analysis of images of platelet formation– William Astle and Cedric Ghevaert (University of Cambridge)
- Developing Bayesian non-myopic response-adaptive randomisation for the case of delayed endpoint observation – Sofia Villar and David Robertson
- Trajectories of modifiable risk factors and their influences on disease outcomes: using genetics in life course epidemiology– Stephen Burgess and Jessica Barrett
- Epidemic modelling with online model assessment: value of information and conflict– Anne Presanis, Chris Jackson and Daniela De Angelis
- Modelling the effect of gender on survival in cystic fibrosis patients– Jessica Barrett and Brian Tom
- How to detect changes in cognition trajectories: longitudinal study design to efficiently estimate biomarker change-point outcomes and time-to-change-point– Simon White and Brian Tom
We are adding projects to this list as they are finalised- please keep checking for the most current project list
All informal enquries about any of the above to be directed to firstname.lastname@example.org