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.
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 are statistics 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 […]
- Effectiveness of Scotland's national naloxone programme: response to letter to editor.
Bird, SM., McAuley, A., Perry, S., Hunter, C.
Addiction 111(7): 1304-6. (19th July 2016)
- An adaptive design for updating the threshold value of a continuous biomarker.
Spencer, AV., Harbron, C., Mander, A., Wason, J., Peers, I.
Stat Med [Epub ahead of print]. (14th July 2016)
- Germline MC1R status influences somatic mutation burden in melanoma.
Robles-Espinoza, CD., et al.
Nat Commun 7: 12064. (12th July 2016)
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