Cross-group Matching

Cross-Group Matching is a methodological framework in the domain of matching variables that enables the systematic alignment and comparison of entities across distinct categorical or demographic groups by standardizing variable representations to facilitate valid intergroup inferences.

30

Publications

2.4K

Citations

91

Authors

51

Institutions

Publications per year

2017–2026

4

Authors

91

  1. LA
    Leo A. Goodman

    University of Chicago, United States

    2 publications · 682 citations

    2

    h-index

  2. TP
    Thalia Palmer

    Michigan Medicine, United States

    2 publications · 107 citations

    2

    h-index

  3. JA
    Joyce A. Wahr

    University of Michigan, United States

    2 publications · 107 citations

    2

    h-index

  4. MO
    Michael O’Reilly

    University of Birmingham, United Kingdom

    2 publications · 107 citations

    2

    h-index

  5. ML
    Mary Lou V. H. Greenfield

    University of Michigan, United States

    2 publications · 107 citations

    2

    h-index

1–5 of 91

Venues

  1. Anesthesia & Analgesia

    2 publications · 107 citations

    2

    h-index

  2. Statistics in Medicine

    2 publications · 43 citations

    2

    h-index

  3. Environmental Health Insights

    EHI · 1 publications · 57 citations

    1

    h-index

  4. 1

    h-index

  5. Copeia

    1 publications · 15 citations

    1

    h-index

1–5