MRC Biostatistics Unit
In research, MRC Biostatistics Unit stands highest in Health Sciences (#6,184 of 11,982 worldwide), 2022–2025. Relative to its size it is most specialised in Statistics and Probability and Mathematics — Statistics and Probability is 71.4× its share of world research.
- World rank, 2022–2025
- #8,415 of 28,054 · #3,214 all time
- Rank in United Kingdom
- #314 of 1,094
- Research works
- 2.1k ▼ 18% vs 2013–17
- Citations
- 281k 132.2 per fractional work
- Top-10% rate
- 33.2% record average 16.5%
- Open access
- 44% world 28%
What is MRC Biostatistics Unit known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Health SciencesDomain | #6,184 of 11,982 | 30.0% | 61 | #1329 |
Each strip is that field’s whole ranked pool, with the notch where MRC Biostatistics Unit sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does MRC Biostatistics Unit specialise in?
Where its research is concentrated relative to its size: Statistics and Probability takes 71.4× the share of its output that it takes of world research.
- Statistics and ProbabilitySubfield · 25.5 works71×
- MathematicsField · 31.1 works16×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Mathematics, 15.7×. Every wedge is a field page.
- Mathematics 15.7×
- Decision Sciences 4.1×
- Biochemistry, Genetics and Molecular Biology 3.6×
- Economics, Econometrics and Finance 1.9×
- Medicine 1.8×
- Immunology and Microbiology 1.6×
- Pharmacology, Toxicology and Pharmaceutics 1.0×
- Psychology 1.0×
- Neuroscience 1.0×
- Computer Science 0.7×
- Nursing 0.6×
- Health Professions 0.6×
- Veterinary 0.5×
- Chemistry 0.2×
- Environmental Science 0.2×
- Social Sciences 0.2×
- Dentistry 0.2×
- Business, Management and Accounting 0.1×
- Physics and Astronomy 0.1×
- Agricultural and Biological Sciences 0.1×
- Arts and Humanities 0.1×
- Engineering 0.1×
- Earth and Planetary Sciences 0.0×
Who are the top researchers at MRC Biostatistics Unit?
Ranked on the composite score, Alan Baddeley, Richard M. Young and David J. Spiegelhalter lead among researchers whose main affiliation is MRC Biostatistics Unit.
- 1 Alan Baddeley United Kingdom · #1,115 worldwide 2.9k citations · 106 works
- 2 Richard M. Young United Kingdom · #56,761 worldwide 398 citations · 33 works
- 3 David J. Spiegelhalter United Kingdom · #61,249 worldwide 461 citations · 30 works
- 4 John Morton United Kingdom · #65,062 worldwide 307 citations · 42 works
- 5 Philip Barnard United Kingdom · #173,489 worldwide 185 citations · 32 works
- 6 Tony Johnson United Kingdom · #307,913 worldwide 67 citations · 19 works
- 7 Daniela De Angelis United Kingdom · #476,717 worldwide 115 citations · 49 works
- 8 Irene Martin United Kingdom · #609,941 worldwide 138 citations · 16 works
- 9 Christopher Jackson United Kingdom · #638,075 worldwide 61 citations · 22 works
- 10 Adrian Mander United Kingdom · #1,236,776 worldwide 35 citations · 39 works
Which keywords describe research at MRC Biostatistics Unit?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Bayesian Methods, Biomarkers, Gene Expression, Genetic Variation, Population Genetics, Genome-Wide Association, Adaptive Designs and False Discovery Rate.
- Taguchi Method
- Experimental Design
- Regularization
- Optimization
- High-Dimensional Data
- Variable Selection
- Statistical Methods
- Marker-Assisted Selection
- transmission dynamics
- Propensity Score
- Clustering
- Infectious Diseases
- SARS-CoV-2
- Pandemic
- COVID-19
- Haplotype Mapping
- Adaptive Designs
- Population Genetics
- Gene Expression
- Bayesian Methods
- Epidemiology
- Biomarkers
- Genetic Variation
- Genome-Wide Association
- False Discovery Rate
- Mendelian Randomization
- Inflammation
- Metabolic Syndrome
- Causal Inference
- Survival Analysis
- Observational Studies
- Modeling
- Model Selection
- Sensitivity Analysis
- Structural Equation Modeling
- Bayesian Modeling
- Multiple Imputation
- Lasso
- ACE2 Receptor
- Response Surface Methodology
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Epidemiology16▲ 2.4×59 topics
- Bayesian Methods14▲ 171×2 topics
- Biomarkers14▲ 12×13 topics
- Gene Expression13▲ 13×9 topics
- Genetic Variation12▲ 34×8 topics
- Population Genetics12▲ 51×4 topics
- Genome-Wide Association11▲ 88×2 topics
- Adaptive Designs10▲ 301×1 topic
- False Discovery Rate10▲ 301×1 topic
- Haplotype Mapping9▲ 165×1 topic
- Mendelian Randomization9▲ 165×1 topic
- COVID-199▲ 3.7×12 topics
- Inflammation7▲ 1.99×41 topics
- Pandemic6▲ 3.2×6 topics
- Metabolic Syndrome6▲ 4.0×16 topics
- SARS-CoV-26▲ 10.0×6 topics
- Causal Inference5▲ 96×2 topics
- Infectious Diseases5▲ 9.1×5 topics
- Survival Analysis5▲ 11×5 topics
- Clustering5▲ 30×3 topics
- Observational Studies5▲ 159×1 topic
- Propensity Score5▲ 159×1 topic
- Modeling5▲ 11×1 topic
- transmission dynamics5▲ 38×1 topic
- Model Selection4▲ 32×3 topics
- Marker-Assisted Selection4▲ 32×2 topics
- Sensitivity Analysis4▲ 26×2 topics
- Statistical Methods4▲ 78×2 topics
- Structural Equation Modeling4▲ 12×2 topics
- Variable Selection4▲ 26×2 topics
- Bayesian Modeling4▲ 129×1 topic
- High-Dimensional Data4▲ 15×2 topics
- Multiple Imputation4▲ 129×1 topic
- Optimization4▲ 5.2×5 topics
- Lasso4▲ 82×1 topic
- Regularization4▲ 82×1 topic
- ACE2 Receptor4▲ 9.1×2 topics
- Experimental Design4▲ 58×2 topics
- Response Surface Methodology4▲ 255×1 topic
- Taguchi Method4▲ 42×1 topic
Which research topics does MRC Biostatistics Unit publish most on?
By volume in 2022–2025: Statistical Methods in Clinical Trials, Genetic Associations and Epidemiology, Advanced Causal Inference Techniques and COVID-19 epidemiological studies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Statistical Methods in Clinical Trials Statistics and Probability 10 works
- 2 Genetic Associations and Epidemiology Genetics 9 works
- 3 Advanced Causal Inference Techniques Statistics and Probability 5 works
- 4 COVID-19 epidemiological studies Modeling and Simulation 5 works
- 5 Statistical Methods and Bayesian Inference Statistics and Probability 4 works
- 6 Statistical Methods and Inference Statistics and Probability 4 works
- 7 Optimal Experimental Design Methods Management Science and Operations Research 4 works
- 8 Genetic and phenotypic traits in livestock Genetics 2 works
- 9 Bayesian Methods and Mixture Models Artificial Intelligence 2 works
- 10 Health Systems, Economic Evaluations, Quality of Life Economics and Econometrics 2 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has MRC Biostatistics Unit's research output changed?
Output in 2018–2022 was 18% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Cambridge
- University of Cambridge
- Addenbrooke's Hospital
- MRC Laboratory of Molecular Biology
- Anglia Ruskin University
- AstraZeneca (United Kingdom)
- Microsoft Research (United Kingdom)
- British Antarctic Survey
- Cambridge University Hospitals NHS Foundation Trust
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.