Covariate Balancing

Covariate Balancing is a statistical method used in causal inference to adjust for confounding variables by ensuring that the distribution of observed covariates is similar between treatment and control groups, thereby enabling unbiased estimation of treatment effects.

257

Publications

34K

Citations

671

Authors

366

Institutions

Publications per year

2017–2026

129

Authors

671

  1. AL
    Ariel Linden

    Linden Photonics (United States), United States

    9 publications · 400 citations

    9

    h-index

  2. KI
    Kosuke Imai

    Princeton University, United States

    9 publications · 2.3K citations

    9

    h-index

  3. DB
    Donald B. Rubin

    Harvard University, United States

    9 publications · 1.1K citations

    9

    h-index

  4. PR
    Paul R. Rosenbaum

    University of Pennsylvania, United States

    8 publications · 585 citations

    8

    h-index

  5. JR
    José R. Zubizarreta

    Harvard University, United States

    8 publications · 924 citations

    8

    h-index

1–5 of 671

Venues

  1. Statistics in Medicine

    19 publications · 7.6K citations

    18

    h-index

  2. Journal of the American Statistical Association

    14 publications · 2.5K citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 12 publications · 254 citations

    11

    h-index

  4. Biometrika

    13 publications · 554 citations

    11

    h-index

  5. Journal of Evaluation in Clinical Practice

    9 publications · 400 citations

    9

    h-index

1–5