Propensity Score Adjustment

Propensity Score Adjustment is a statistical method used in causal inference that belongs to the class of covariate adjustment techniques, distinguished by its use of a subject’s propensity score—defined as the conditional probability of treatment assignment given observed covariates—to balance covariate distributions between treatment and control groups.

11.2K

Publications

584.1K

Citations

67.7K

Authors

9.1K

Institutions

Publications per year

2017–2026

7.3K

Variants

Propensity Score Adjustment Method

Authors

67.7K

  1. SS
    Sebastian Schneeweiß

    Brigham and Women's Hospital, United States

    60 publications · 7K citations

    35

    h-index

  2. PC
    Peter C. Austin

    University of Toronto, Canada

    60 publications · 8.9K citations

    34

    h-index

  3. HY
    Hideo Yasunaga

    The University of Tokyo, Japan

    54 publications · 2.1K citations

    25

    h-index

  4. EA
    Elizabeth A. Stuart

    Johns Hopkins University, United States

    38 publications · 4.9K citations

    25

    h-index

  5. EP
    Elisabetta Patorno

    Brigham and Women's Hospital, United States

    33 publications · 3.3K citations

    25

    h-index

1–5 of 67.7K

Venues

  1. Annals of Surgery

    93 publications · 7.6K citations

    52

    h-index

  2. PLoS ONE

    267 publications · 10.2K citations

    51

    h-index

  3. Circulation

    60 publications · 10.7K citations

    50

    h-index

  4. BMJ

    48 publications · 6K citations

    42

    h-index

  5. Clinical Infectious Diseases

    CID · 67 publications · 5.2K citations

    39

    h-index

1–5