Conditional Odds Ratio Estimation

Conditional Odds Ratio Estimation is a statistical method used in exact inference for categorical data that estimates the odds ratio between two binary variables while conditioning on the sufficient statistics of nuisance parameters to eliminate their influence under a matched or stratified sampling design.

112

Publications

6.7K

Citations

302

Authors

185

Institutions

Publications per year

2017–2026

13

Authors

302

  1. NM
    Nan M. Laird

    Harvard University, United States

    7 publications · 936 citations

    7

    h-index

  2. GM
    Garrett M. Fitzmaurice

    Harvard University, United States

    6 publications · 539 citations

    6

    h-index

  3. AA
    Alan Agresti

    University of Florida, United States

    5 publications · 284 citations

    5

    h-index

  4. SR
    Stuart R. Lipsitz

    Brigham and Women's Hospital, United States

    4 publications · 529 citations

    4

    h-index

  5. PC
    Peter C. Austin

    University of Toronto, Canada

    3 publications · 292 citations

    3

    h-index

1–5 of 302

Venues

  1. Journal of the American Statistical Association

    14 publications · 549 citations

    12

    h-index

  2. Biometrics

    10 publications · 424 citations

    10

    h-index

  3. Biometrika

    11 publications · 1.4K citations

    10

    h-index

  4. Statistics in Medicine

    8 publications · 591 citations

    8

    h-index

  5. American Journal of Epidemiology

    AJE · 4 publications · 290 citations

    4

    h-index

1–5