MRC Biostatistics Unit
The mission of the MRC Biostatistics Unit is to 'promote the development and application of innovative statistical methods in the health sciences for the improvement of health'
Our researchers work across four major themes
DART: Design and Analysis of Randomised Trials
Clinical trials are considered the gold-standard study design when testing for a causal effect of a new treatment or intervention. There are, however, many challenges to be faced in the future. Read more.
Advances in bio-processing, high-throughput technology, data storage and grid computing are producing vast amounts of accessible ‘omics data, for example nucleotide resolution genomic and transcriptomic data, as well as measures of downstream biological processes, such as metabolomic profiles. Read more.
SURPH: Statistical methods Using data Resources to improve Population Health
Improvement of population health is underpinned by quantification of disease burden, understanding what causes disease and evaluating interventions to reduce or prevent morbidity. Modern technology has enabled the collection and storage of ever increasing amounts of information, including electronic health records, new types of surveillance data, and data from genetic studies. Read more.
PREM: Precision Medicine and Inference for Complex Outcomes
The wealth of biological, clinical and epidemiological data now available, coupled with the resolution afforded by current high throughput technologies and the longitudinal follow-up of individuals, has led to a shift towards ever-finer patient/participant stratification to inform clinical practice. Read more.
News
Research from BSU shows UK on track for zero HIV transmissions by 2030
BSU estimates underpin the key messages of the recent report by Public Health England ‘HIV in the UK: towards zero…
Professor Sylvia Richardson receives her CBE at Buckingham Palace
On Tuesday 19th November 2019, Professor Sylvia Richardson attended an investiture at Buckingham Palace where she was officially presented with…
A “shared information” approach identifies novel associations in immune-mediated diseases
Genetic associations for related diseases, such as those that are immune-mediated, are often identified in the same genomic regions and…