Correlation Structure Selection

Correlation Structure Selection is the statistical methodology for identifying the most appropriate covariance pattern among repeated categorical measurements within subjects, distinguishing itself from alternative model specification techniques by explicitly accounting for the nature and dependency of longitudinal categorical data.

56

Publications

2.5K

Citations

126

Authors

71

Institutions

Publications per year

2017–2026

10

Authors

126

  1. PM
    Philip M. Westgate

    University of Kentucky, United States

    6 publications · 129 citations

    6

    h-index

  2. YW
    You‐Gan Wang

    Queensland University of Technology, Australia

    5 publications · 273 citations

    5

    h-index

  3. LH
    Lin‐Yee Hin

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 247 citations

    3

    h-index

  4. WB
    Woodrow Burchett

    Pfizer (United States), United States

    3 publications · 52 citations

    3

    h-index

  5. PS
    P. S. Keila

    Queen's University, Canada

    2 publications · 69 citations

    2

    h-index

1–5 of 126

Venues

  1. Statistics in Medicine

    7 publications · 358 citations

    7

    h-index

  2. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 37 citations

    2

    h-index

  3. The American Statistician

    2 publications · 69 citations

    2

    h-index

  4. Journal of Banking & Finance

    2 publications · 34 citations

    2

    h-index

  5. Ecology

    2 publications · 182 citations

    2

    h-index

1–5