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 […]
- 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 […]
- BSU Director Elected to the Academy of Medical Sciences
We are delighted to announce that our Director, Professor Sylvia Richardson, has been elected a […]
- Improving outcomes in adults with epilepsy and intellectual disability (EpAID) using a nurse-led intervention: study protocol for a cluster randomised controlled trial.
Ring, H., et al.
Trials 17(1): 297. (24th June 2016)
- Improving the power of clinical trials of rheumatoid arthritis by using data on continuous scales when analysing response rates: an application of the augmented binary method.
Wason, JM., Jenkins, M.
Rheumatology (Oxford) [Epub ahead of print]. (23rd June 2016)
- Alpha-Fetoprotein Detection of Hepatocellular Carcinoma Leads to a Standardized Analysis of Dynamic AFP to Improve Screening Based Detection.
Bird, TG., et al.
PLoS ONE 11(6): e0156801. (16th June 2016)
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