Balancing Scores

Balancing Scores is a statistical technique in propensity modeling that belongs to the class of covariate adjustment methods, differentiating itself by achieving balance between treated and control groups through the use of a single index—typically the propensity score—to reduce dimensionality and enable unbiased estimation of causal effects.

35

Publications

15.8K

Citations

110

Authors

58

Institutions

Publications per year

2017–2026

12

Authors

110

  1. PC
    Peter C. Austin

    University of Toronto, Canada

    3 publications · 11.9K citations

    3

    h-index

  2. HP
    Heru Prasetyo

    Yogyakarta State University, Indonesia

    1 publications · 15 citations

    1

    h-index

  3. MH
    Ming‐Hsia Hu

    National Taiwan University, Taiwan

    1 publications · 217 citations

    1

    h-index

  4. YC
    Yi‐Hua Chen

    Taipei Medical University, Taiwan

    1 publications · 65 citations

    1

    h-index

  5. SO
    Semra Oğuz

    Marmara University, Türkiye

    1 publications · 11 citations

    1

    h-index

1–5 of 110

Venues

  1. Statistics in Medicine

    3 publications · 57 citations

    3

    h-index

  2. 1

    h-index

  3. Developmental Review

    DR · 1 publications · 14 citations

    1

    h-index

  4. Perceptual and Motor Skills

    1 publications · 27 citations

    1

    h-index

  5. Value in Health

    1 publications · 374 citations

    1

    h-index

1–5