Clustered Data Analysis

Clustered Data Analysis is a statistical methodology within epidemiologic methods that involves the analysis of data grouped into clusters where observations within the same cluster are non-independent due to shared characteristics or contextual effects, distinguishing it from methods assuming independent observations.

4.6K

Publications

468.5K

Citations

12.5K

Authors

3.6K

Institutions

Publications per year

2017–2026

1.3K

Authors

12.5K

  1. MY
    Miin‐Shen Yang

    Chung Yuan Christian University, Taiwan

    22 publications · 2.4K citations

    20

    h-index

  2. AD
    Allan Donner

    Western University, Canada

    24 publications · 2.7K citations

    19

    h-index

  3. DS
    Douglas Steinley

    University of Missouri, United States

    20 publications · 2.8K citations

    18

    h-index

  4. KH
    Karla Hemming

    University of Birmingham, United Kingdom

    17 publications · 2.3K citations

    17

    h-index

  5. FL
    Fan Li

    Yale University, United States

    17 publications · 914 citations

    17

    h-index

1–5 of 12.5K

Venues

  1. Statistics in Medicine

    170 publications · 9.8K citations

    51

    h-index

  2. Biometrics

    115 publications · 18.8K citations

    50

    h-index

  3. Journal of the American Statistical Association

    96 publications · 22.9K citations

    46

    h-index

  4. Pattern Recognition

    89 publications · 7.5K citations

    44

    h-index

  5. Expert Systems with Applications

    56 publications · 4.6K citations

    37

    h-index

1–5