Log Odds Ratio

Log Odds Ratio is an effect size measure that quantifies the logarithm of the ratio of the odds of an event occurring in one group to the odds of it occurring in another group, used to assess the strength and direction of the association between two binary variables.

365

Publications

27K

Citations

1.2K

Authors

508

Institutions

Publications per year

2017–2026

78

Variants

Log-odds Ratio

Authors

1.2K

  1. NM
    Nan M. Laird

    Harvard University, United States

    5 publications · 495 citations

    5

    h-index

  2. GM
    Garrett M. Fitzmaurice

    Harvard University, United States

    5 publications · 495 citations

    5

    h-index

  3. SL
    Scott L. Zeger

    Johns Hopkins University, United States

    4 publications · 279 citations

    4

    h-index

  4. AD
    Alfred DeMaris

    Bowling Green State University, United States

    4 publications · 83 citations

    4

    h-index

  5. SG
    Simon G. Thompson

    MRC Biostatistics Unit, United Kingdom

    3 publications · 408 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. Statistics in Medicine

    25 publications · 4.8K citations

    20

    h-index

  2. Biometrics

    29 publications · 1.6K citations

    19

    h-index

  3. Journal of the American Statistical Association

    22 publications · 1.9K citations

    17

    h-index

  4. Biometrika

    16 publications · 1.3K citations

    15

    h-index

  5. BMC Medical Research Methodology

    7 publications · 840 citations

    7

    h-index

1–5