Statistical Methods in Clinical Trials
Statistical Methods in Clinical Trials is a research topic within Statistics and Probability. Science Explorer counts 27k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of statistical methods and design considerations in the context of clinical trials and drug development. It includes topics such as controlling the false discovery rate, adaptive trial designs, noninferiority trials, biomarkers, phase I trials, multiple testing, Bayesian methods, sample size determination, composite endpoints, and pharmacokinetic/pharmacodynamic modeling.
- False Discovery Rate
- Adaptive Designs
- Noninferiority Trials
- Biomarkers
- Phase I Trials
- Multiple Testing
- Bayesian Methods
- Sample Size
- Composite Endpoints
- Pharmacokinetic/Pharmacodynamic Modeling
- Research works
- 27k fractional, since 1950
- In the world top 10%
- 2.7k per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +12% the tick is no change
- Largest producer
United States
51% of the 10 largest, 2022-now
Which countries lead Statistical Methods in Clinical Trials research?
By volume, the United States and the United Kingdom publish the most (2k and 395 works in 2022-now).
By volume, 2022-now
- 1
United States 2k works
- 2
United Kingdom 395 works
- 3
China 360 works
- 4
Germany 255 works
- 5
Canada 202 works
- 6
India 193 works
- 7
France 163 works
- 8
Japan 147 works
- 9
Netherlands 139 works
- 10
Italy 134 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Statistical Methods in Clinical Trials research?
By volume in 2022-now, Harvard University publishes the most Statistical Methods in Clinical Trials research, followed by United States Food and Drug Administration and University of North Carolina at Chapel Hill.
By volume, 2022-now
- 1
Harvard University
United States 73 works
- 2
United States Food and Drug Administration
United States 69 works
- 3
University of North Carolina at Chapel Hill
United States 59 works
- 4
University College London
United Kingdom 38 works
- 5
National Institutes of Health
United States 36 works
- 6
The University of Texas MD Anderson Cancer Center
United States 35 works
- 7
AstraZeneca (United Kingdom)
United Kingdom 35 works
- 8
Duke University
United States 34 works
- 9
Pfizer (United States)
United States 33 works
- 10
Inserm
France 33 works
Who are the leading researchers in Statistical Methods in Clinical Trials?
The most-cited researchers publishing on Statistical Methods in Clinical Trials include David Moher, Douglas G. Altman and George Davey Smith.
- 1
David Moher
Canada 898k citations
- 2
Douglas G. Altman
United Kingdom 862k citations
- 3
George Davey Smith
United Kingdom 435k citations
- 4
Walter Churchill Willett
United States 411k citations
- 5
Robert John Tibshirani
United States 396k citations
- 6
Julian P. T. Higgins
United Kingdom 390k citations
- 7
Ronald C. Kessler
United States 360k citations
- 8
John J.V. McMurray
United Kingdom 349k citations
- 9
Hermann Brenner
Germany 343k citations
- 10
Cyrus Cooper
United Kingdom 342k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Statistical Methods in Clinical Trials research done?
The largest centres of Statistical Methods in Clinical Trials research in 2022-now are London (United Kingdom), New York (United States), Beijing (China) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Silver Spring.
Largest cities, 2022-now
- 1
London
United Kingdom 140 works
- 2
New York
United States 119 works
- 3
Beijing
China 82 works
- 4
Paris
France 67 works
- 5
Cambridge
United States 66 works
- 6
Boston
United States 65 works
- 7
Tokyo
Japan 65 works
- 8
Silver Spring
United States 63 works
- 9
Chapel Hill
United States 57 works
- 10
Houston
United States 51 works
Where it is the local speciality
- Silver SpringUS · 63.2 works60×
Location quotient: how much more of its research is in Statistical Methods in Clinical Trials than the world average.
Where is the best place to study Statistical Methods in Clinical Trials?
Among universities, judged by research, University College London, Harvard University and University of Cambridge score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Statistical Methods in Clinical Trials, country by countryIs Statistical Methods in Clinical Trials research growing?
Output in 2022-2025 was 12% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Statistical Methods in Clinical Trials.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Statistical Methods in Clinical Trials as a percentage of every work published that year, 0.020% in 2024.
Fractional works of Statistical Methods in Clinical Trials over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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