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Topic · Statistics and Probability

Statistical Methods in Epidemiology

Statistical Methods in Epidemiology is a research topic within Statistics and Probability. Science Explorer counts 3.9k research works in it since 1959. 11.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on various methodological aspects of sample size calculation, logistic regression, predictive modeling, and epidemiologic research. It addresses issues such as sparse data bias, measurement error, risk factors identification, and statistical analysis in clinical studies.

  • Sample Size Calculation
  • Methodology
  • Logistic Regression
  • Predictive Modeling
  • Epidemiologic Research
  • Statistical Analysis
  • Data Bias
  • Measurement Error
  • Risk Factors
  • Clinical Studies
Research works
3.9k
fractional, since 1959
In the world top 10%
425
per year above
Top-10% rate
11.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+66%
the tick is no change
Largest producer
China
35% of the 10 largest, 2022-now
Statistical Methods in Epidemiology

Which countries lead Statistical Methods in Epidemiology research?

By volume, China and the United States publish the most (394 and 166 works in 2022-now).

By volume, 2022-now

  1. 1 China 394 works
  2. 2 United States 166 works
  3. 3 Indonesia 146 works
  4. 4 Türkiye 112 works
  5. 5 India 107 works
  6. 6 United Kingdom 46 works
  7. 7 Japan 45 works
  8. 8 Nigeria 43 works
  9. 9 Iran 43 works
  10. 10 Philippines 35 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.

China: 34.6%United States: 14.6%Indonesia: 12.9%Türkiye: 9.9%6 others listed: 28.1%35%largest
China394 · 34.6%United States166 · 14.6%Indonesia146 · 12.9%Türkiye112 · 9.9%6 others listed319 · 28.1%

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

Which institutions lead Statistical Methods in Epidemiology research?

By volume in 2022-now, Wenzhou Medical University publishes the most Statistical Methods in Epidemiology research, followed by Yale University and Capital Medical University.

By volume, 2022-now

  1. 1 Wenzhou Medical UniversityChina 10 works
  2. 2 Yale UniversityUnited States 9 works
  3. 3 Capital Medical UniversityChina 9 works
  4. 4 Sichuan UniversityChina 9 works
  5. 5 Peking UniversityChina 9 works
  6. 6 Soochow UniversityChina 8 works
  7. 7 Sağlık Bilimleri ÜniversitesiTürkiye 8 works
  8. 8 Hebei Medical UniversityChina 8 works
  9. 9 Fujian Medical UniversityChina 8 works
  10. 10 Nanjing Medical UniversityChina 7 works

Who are the leading researchers in Statistical Methods in Epidemiology?

The most-cited researchers publishing on Statistical Methods in Epidemiology include Douglas G. Altman, George Davey Smith and Walter Churchill Willett.

  1. 1 Douglas G. Altman United Kingdom 862k citations
  2. 2 George Davey Smith United Kingdom 435k citations
  3. 3 Walter Churchill Willett United States 411k citations
  4. 4 Hermann Brenner Germany 343k citations
  5. 5 Cyrus Cooper United Kingdom 342k citations
  6. 6 John P. A. Ioannidis United States 317k citations
  7. 7 Donald B. Rubin United States 301k 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 in Epidemiology?

The most cited paper in Statistical Methods in Epidemiology is "Interrater reliability: the kappa statistic" (Marry L. McHugh, 2012), with 19,382 citations. Next come "Interrater reliability: the kappa statistic." (9,245) and "Measuring nominal scale agreement among many raters." (8,804).

Most cited papers
#PaperReleasedCitations
1 Interrater reliability: the kappa statistic Marry L. McHugh · Biochemia Medica Open access 2012 19,382
2 Interrater reliability: the kappa statistic. Mary L. McHugh · PubMed Open access 2012 9,245
3 Measuring nominal scale agreement among many raters. Joseph L. Fleiss · Psychological Bulletin Nov 1971 8,804
4 Understanding interobserver agreement: the kappa statistic. Anthony J. Viera, Joanne Mills Garrett · PubMed May 2005 7,066
5 What's the Relative Risk? Jun Zhang, Kai Yu · JAMA 18 Nov 1998 4,191
All 101 most cited papers, with filters and sorting

Where is Statistical Methods in Epidemiology research done?

The largest centres of Statistical Methods in Epidemiology research in 2022-now are Beijing (China), Istanbul (Türkiye), Shanghai (China) and Chengdu (China). Among places with at least 20 works in it, it is an unusually large share of all research in Istanbul.

Largest cities, 2022-now

  1. 1 BeijingChina 44 works
  2. 2 IstanbulTürkiye 25 works
  3. 3 ShanghaiChina 23 works
  4. 4 ChengduChina 18 works
  5. 5 JakartaIndonesia 17 works
  6. 6 GuangzhouChina 17 works
  7. 7 HangzhouChina 17 works
  8. 8 SurabayaIndonesia 16 works
  9. 9 AnkaraTürkiye 15 works
  10. 10 TehranIran 14 works

Where it is the local speciality

  1. IstanbulTR · 25.1 works3.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Statistical Methods in Epidemiology than the world average.

See Statistical Methods in Epidemiology on the map

Where is the best place to study Statistical Methods in Epidemiology?

Among universities, judged by research, Wenzhou Medical University, Peking University and Yale University 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%10%20%mean 11.5167%fractional works in this field (log) →share of work in the world top 10% →Peking UniversitySoochow UniversityWenzhou Medical Univ…Yale University
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
1Wenzhou Medical UniversityChina 64.410.2%13.9×10 +232.9%
2Peking UniversityChina 62.521.3%3.0×8 +152.0%
3Yale UniversityUnited States 48.10.1%6.1×9 +708.3%
4Soochow UniversityChina 47.813.3%6.1×8 +369.9%
5Capital Medical UniversityChina 44.910.1%6.1×9 +192.8%
6Sichuan UniversityChina 39.514.1%2.7×9 +80.2%

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 Epidemiology, country by country

Is Statistical Methods in Epidemiology research growing?

Output in 2022-2025 was 66% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Statistical Methods in Epidemiology.

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 in Epidemiology as a percentage of every work published that year, 0.0049% in 2024.

still counting0.0050%0.010%Statistical Methods in Epidemiology0.0078% in 202519801990200020102020

Fractional works of Statistical Methods in Epidemiology 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 counting10%20%30%Statistical Methods in Epidemiology10.6% 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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