Association Estimation

Association Estimation is a methodological approach within cross-sectional studies that quantifies the statistical relationship between two or more variables at a single time point, distinguishing itself by its focus on measuring the strength and direction of associations without inferencing causality.

209

Publications

28.4K

Citations

572

Authors

285

Institutions

Publications per year

2017–2026

41

Authors

572

  1. LA
    Leo A. Goodman

    University of Chicago, United States

    7 publications · 2.1K citations

    7

    h-index

  2. WK
    William Kruskal

    University of Chicago, United States

    7 publications · 2.7K citations

    7

    h-index

  3. SR
    Stuart R. Lipsitz

    Brigham and Women's Hospital, United States

    4 publications · 108 citations

    4

    h-index

  4. SL
    Scott L. Zeger

    Johns Hopkins University, United States

    3 publications · 840 citations

    3

    h-index

  5. CC
    Clifford C. Clogg

    Pennsylvania State University, United States

    3 publications · 229 citations

    3

    h-index

1–5 of 572

Venues

  1. 16

    h-index

  2. Biometrika

    8 publications · 630 citations

    8

    h-index

  3. Sociological Methods & Research

    SMR · 7 publications · 147 citations

    7

    h-index

  4. Statistics in Medicine

    6 publications · 669 citations

    6

    h-index

  5. Biometrics

    6 publications · 345 citations

    6

    h-index

1–5