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Topic · Statistics and Probability

Statistical Methods and Bayesian Inference

Statistical Methods and Bayesian Inference is a research topic within Statistics and Probability. Science Explorer counts 29k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on various statistical methods and models for handling missing data in research, including multiple imputation, Bayesian modeling, generalized linear models, longitudinal data analysis, and sensitivity analysis. It covers topics such as model complexity, simulation studies, and the application of these methods in different fields. The cluster also discusses the challenges and best practices for analyzing datasets with missing values.

  • Multiple Imputation
  • Bayesian Modeling
  • Generalized Linear Models
  • Longitudinal Data Analysis
  • Model Complexity
  • Statistical Methods
  • Mixed-Effects Models
  • Simulation Studies
  • Structural Equation Modeling
  • Sensitivity Analysis
Research works
29k
fractional, since 1950
In the world top 10%
2.8k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-1%
the tick is no change
Largest producer
United States
44% of the 10 largest, 2022-now
Statistical Methods and Bayesian Inference

Which countries lead Statistical Methods and Bayesian Inference research?

By volume, the United States and China publish the most (1.5k and 493 works in 2022-now).

By volume, 2022-now

  1. 1 United States 1.5k works
  2. 2 China 493 works
  3. 3 India 239 works
  4. 4 United Kingdom 227 works
  5. 5 Canada 206 works
  6. 6 Germany 196 works
  7. 7 Italy 143 works
  8. 8 Saudi Arabia 133 works
  9. 9 Japan 127 works
  10. 10 France 123 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.

United States: 44.0%China: 14.6%India: 7.1%United Kingdom: 6.7%6 others listed: 27.5%44%largest
United States1,483 · 44.0%China493 · 14.6%India239 · 7.1%United Kingdom227 · 6.7%6 others listed928 · 27.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Statistical Methods and Bayesian Inference research?

By volume in 2022-now, University of North Carolina at Chapel Hill publishes the most Statistical Methods and Bayesian Inference research, followed by Harvard University and Centre National de la Recherche Scientifique.

By volume, 2022-now

  1. 1 University of North Carolina at Chapel HillUnited States 51 works
  2. 2 Harvard UniversityUnited States 36 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 33 works
  4. 4 University of MichiganUnited States 31 works
  5. 5 University of PennsylvaniaUnited States 31 works
  6. 6 Stanford UniversityUnited States 24 works
  7. 7 University College LondonUnited Kingdom 24 works
  8. 8 University of TorontoCanada 22 works
  9. 9 Duke UniversityUnited States 22 works
  10. 10 Yale UniversityUnited States 21 works

Who are the leading researchers in Statistical Methods and Bayesian Inference?

The most-cited researchers publishing on Statistical Methods and Bayesian Inference include David Moher, Douglas G. Altman and Christopher J L Murray.

  1. 1 David Moher Canada 898k citations
  2. 2 Douglas G. Altman United Kingdom 862k citations
  3. 3 Christopher J L Murray United States 583k citations
  4. 4 Simon Iain Hay United States 452k citations
  5. 5 George Davey Smith United Kingdom 435k citations
  6. 6 Robert John Tibshirani United States 396k citations
  7. 7 Julian P. T. Higgins United Kingdom 390k citations
  8. 8 Bert Vogelstein United States 373k citations
  9. 9 Ronald C. Kessler United States 360k citations
  10. 10 Hermann Brenner Germany 343k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Statistical Methods and Bayesian Inference?

The most cited paper in Statistical Methods and Bayesian Inference is "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing" (Yoav Benjamini, Yosef Hochberg, 1995), with 112,351 citations. Next come "Fitting Linear Mixed-Effects Models Using lme4" (89,183) and "Bias in meta-analysis detected by a simple, graphical test" (57,774).

Most cited papers
#PaperReleasedCitations
1 Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing Yoav Benjamini, Yosef Hochberg · Journal of the Royal Statistical Society Series B (Statistical Methodology) 1995 112,351
2 Fitting Linear Mixed-Effects Models Using lme4 Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software Open access 2015 89,183
3 Bias in meta-analysis detected by a simple, graphical test Matthias Egger, George Davey Smith, Martin Schneider et al. · BMJ Open access 13 Sep 1997 57,774
4 Nonparametric Estimation from Incomplete Observations Edward L. Kaplan, Paul Meier · Springer series in statistics Book chapter 1992 45,535
5 Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses Franz Faul, Edgar Erdfelder, Axel Buchner et al. · Behavior Research Methods Open access Nov 2009 37,775
All 96 most cited papers, with filters and sorting

Where is Statistical Methods and Bayesian Inference research done?

The largest centres of Statistical Methods and Bayesian Inference research in 2022-now are Beijing (China), London (United Kingdom), New York (United States) and Tokyo (Japan).

Largest cities, 2022-now

  1. 1 BeijingChina 106 works
  2. 2 LondonUnited Kingdom 73 works
  3. 3 New YorkUnited States 61 works
  4. 4 TokyoJapan 60 works
  5. 5 ShanghaiChina 52 works
  6. 6 Chapel HillUnited States 51 works
  7. 7 RiyadhSaudi Arabia 48 works
  8. 8 SeoulSouth Korea 45 works
  9. 9 PhiladelphiaUnited States 42 works
  10. 10 ParisFrance 42 works
See Statistical Methods and Bayesian Inference on the map

Where is the best place to study Statistical Methods and Bayesian Inference?

Among universities, judged by research, University College London, Stanford University and London School of Hygiene & Tropical Medicine 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.

0%20%40%mean 19.06%fractional works in this field (log) →share of work in the world top 10% →London School of Hyg…University College L…Stanford UniversityImam Mohammad ibn Sa…
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University College LondonUnited Kingdom 71.925.5%3.6×24 +19.0%
2Stanford UniversityUnited States 62.920.0%3.9×24 +32.3%
3London School of Hygiene & Tropical MedicineUnited Kingdom 61.231.2%13.1×9 -34.1%
4Imam Mohammad ibn Saud Islamic UniversitySaudi Arabia 59.115.4%20.1×16 +441.6%
5Harvard UniversityUnited States 56.816.7%2.7×36 -17.5%
6King Abdulaziz UniversitySaudi Arabia 55.918.7%6.5×15 +92.3%
7Princess Nourah bint Abdulrahman UniversitySaudi Arabia 55.116.9%11.9×13 -
8University of California, Los AngelesUnited States 54.214.1%4.3×21 +14.4%
9Utrecht UniversityNetherlands 53.617.1%4.8×15 +7.4%
10University of TorontoCanada 52.615.0%2.6×22 +9.7%

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 and Bayesian Inference, country by country

Is Statistical Methods and Bayesian Inference research growing?

Output in 2022-2025 was 1% lower than in 2018-2021, peaking in 2022.

still counting19801990200020102020
grewheldshrank

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 and Bayesian Inference as a percentage of every work published that year, 0.016% in 2024.

still counting0.020%0.040%Statistical Methods and Bayesian Inference0.018% in 202519801990200020102020

Fractional works of Statistical Methods and Bayesian Inference 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.

still counting5%10%15%Statistical Methods and Bayesian Inference9.9% in 2025200020102020

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.

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