Matching Weights

Matching Weights is a propensity score weighting method that assigns each treated and control unit a weight inversely proportional to its propensity score, such that the weighted control group mimics the covariate distribution of the treated group, enabling unbiased estimation of treatment effects.

63

Publications

4.7K

Citations

163

Authors

107

Institutions

Publications per year

2017–2026

17

Variants

Propensity Score Weighting

Authors

163

  1. PC
    Peter C. Austin

    University of Toronto, Canada

    5 publications · 148 citations

    5

    h-index

  2. SC
    Simon C. Gandevia

    UNSW Sydney, Australia

    4 publications · 230 citations

    4

    h-index

  3. SL
    Sharon L. Kilbreath

    The University of Sydney, Australia

    3 publications · 141 citations

    3

    h-index

  4. MB
    Marlene B. Schwartz

    Yale University, United States

    2 publications · 26 citations

    2

    h-index

  5. HK
    Hyunsub Kum

    The University of Texas at Austin, United States

    2 publications · 47 citations

    2

    h-index

1–5 of 163

Venues

  1. Statistics in Medicine

    5 publications · 209 citations

    5

    h-index

  2. The Journal of Physiology

    4 publications · 230 citations

    4

    h-index

  3. SSRN Electronic Journal

    Repository · 4 publications · 151 citations

    4

    h-index

  4. 3

    h-index

  5. PubMed

    Repository · 2 publications · 306 citations

    2

    h-index

1–5