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
Take-home naloxone: a life saver in opioid overdose
An editorial comment published today in The Lancet on new research led by Prof Sheila M. Bird and Andrew McAuley.…
Seeking expressions of interest – Principal Investigator in Design and Analysis of Randomised Trials
We have an exciting new position available for a senior scientist to lead a programme of research within the broad…
Webinar of 16th Armitage Lecture
Our 16th Armitage Lecture, by Professor Barbara Engelhardt from Princeton University, is now available to view via Statistics Views. The…