Gee Working Correlation Structures

GEE Working Correlation Structures is a statistical modeling specification within generalized estimating equations that characterizes the assumed within-subject dependence pattern of repeated categorical outcomes by defining a structured covariance matrix to improve estimation efficiency.

37

Publications

2.6K

Citations

82

Authors

59

Institutions

Publications per year

2017–2026

8

Authors

82

  1. YW
    You‐Gan Wang

    Queensland University of Technology, Australia

    5 publications · 339 citations

    5

    h-index

  2. PM
    Philip M. Westgate

    University of Kentucky, United States

    4 publications · 118 citations

    4

    h-index

  3. JS
    Justine Shults

    University of Pennsylvania, United States

    3 publications · 467 citations

    3

    h-index

  4. JC
    James Cui

    Monash University, Australia

    2 publications · 617 citations

    2

    h-index

  5. VJ
    Vincent J. Carey

    Harvard University, United States

    2 publications · 106 citations

    2

    h-index

1–5 of 82

Venues

  1. Statistics in Medicine

    9 publications · 625 citations

    9

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  2. Biometrics

    6 publications · 460 citations

    6

    h-index

  3. Biometrical Journal

    3 publications · 56 citations

    3

    h-index

  4. 2

    h-index

  5. Statistica Sinica

    2 publications · 94 citations

    2

    h-index

1–5