Covariate Adjustment

Covariate Adjustment is a statistical procedure in dose-response modeling that accounts for the influence of concomitant variables by isolating the effect of the primary exposure or dose metric on the response outcome.

597

Publications

118.6K

Citations

1.5K

Authors

611

Institutions

Publications per year

2017–2026

135

Authors

1.5K

  1. SV
    Stijn Vansteelandt

    Ghent University, Belgium

    13 publications · 681 citations

    11

    h-index

  2. DB
    Donald B. Rubin

    Harvard University, United States

    10 publications · 38.2K citations

    10

    h-index

  3. GG
    Gary G. Koch

    University of North Carolina at Chapel Hill, United States

    10 publications · 237 citations

    10

    h-index

  4. PR
    Paul R. Rosenbaum

    University of Pennsylvania, United States

    9 publications · 572 citations

    9

    h-index

  5. DŞ
    Damla Şentürk

    University of California, Los Angeles, United States

    7 publications · 260 citations

    7

    h-index

1–5 of 1.5K

Venues

  1. Statistics in Medicine

    74 publications · 9K citations

    37

    h-index

  2. Biometrics

    48 publications · 7.9K citations

    28

    h-index

  3. Journal of the American Statistical Association

    31 publications · 3.3K citations

    24

    h-index

  4. Biometrika

    26 publications · 36K citations

    20

    h-index

  5. American Journal of Epidemiology

    AJE · 21 publications · 6.3K citations

    19

    h-index

1–5