Exciting PhD Studentship Opportunity at MRC Biostatistics Unit
Would you like to do a PhD at the internationally renowned MRC Biostatistics Unit in Cambridge?
If so, we have a new opportunity working in stratified medicine with Dr Brian Tom starting January 2017
To find out more and to apply, please click here
What we do
Founded in 1913, we are one of the largest groups of biostatisticians in Europe and a major centre for training and knowledge transfer, with the mission 'to advance biomedical science and human health through the development, application and dissemination of statistical methods'.
We are part of the Cambridge Institute of Public Health.
Our researchers work across four major themes:
A community-based effort to assess the feasibility of using computational methods to piece together biological networks has shown that solutions to this puzzle may be coming into reach. The international study, presenting findings from a Heritage Provider Network (HPN)-supported DREAM challenge, is published in the journal Nature Methods. BSU's Dr Steven Hill is joint first […]
In a Perspective published in Science, entitled “Systems biology (un)certainties”, Dr. Paul Kirk from MRC Biostatistics Unit, Dr. Ann Babtie, and Prof. Michael Stumpf, both from Imperial College, highlight the opportunities provided by mathematical models in the biomedical sciences, but stress the importance of assessing uncertainty and avoiding over-interpretation. Mathematical and statistical models have proven […]
- Why statistics is important - BSU Open Day 2016
On Wednesday 22nd June we opened our doors to excite and inform about statistics, with […]
- Inspiring with statistics at STEM Fair 2016
On Wednesday 15th June, the MRC Biostatistics Unit (BSU) took part in STEM Fair 2016. […]
- BSU Programme Leader speaks at 1st International Conference of Ethiopian Statistical Association
The 20th – 22nd May 2016 saw the first ever International Conference of the Ethiopian […]
- Yujie Zhong, winner of Pierre Robillard Award
We are very pleased to announce that Investigator Statistician, Yujie Zhong, has been awarded the […]
- Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.
Lenive, O., W Kirk, PD., H Stumpf, MP.
BMC Syst Biol 10(1): 81. (22nd August 2016)
- Evaluation of the effects of multiple providers in complex surgical interventions.
Papachristofi, O., Klein, A., Sharples, L.
Stat Med [Epub ahead of print]. (10th August 2016)
- Sample size and classification error for Bayesian change-point models with unlabelled sub-groups and incomplete follow-up.
White, SR., Muniz-Terrera, G., Matthews, FE.
Stat Methods Med Res [Epub ahead of print]. (8th August 2016)
See more Publications