Propensity Scoring

Propensity Scoring is a statistical technique used in recommendation evaluation that estimates the likelihood of an item being recommended to a user based on observed user and item characteristics, distinguishing it from other evaluation methods by explicitly modeling the selection bias inherent in observational recommendation data.

1.7K

Publications

121.4K

Citations

9.7K

Authors

2.9K

Institutions

Publications per year

2017–2026

725

Authors

9.7K

  1. EA
    Elizabeth A. Stuart

    Johns Hopkins University, United States

    15 publications · 3.7K citations

    14

    h-index

  2. PC
    Peter C. Austin

    University of Toronto, Canada

    14 publications · 2.7K citations

    13

    h-index

  3. SS
    Sebastian Schneeweiß

    Brigham and Women's Hospital, United States

    13 publications · 1.8K citations

    13

    h-index

  4. RJ
    Robert J. Glynn

    Brigham and Women's Hospital, United States

    12 publications · 2K citations

    12

    h-index

  5. PC
    Phasit Charoenkwan

    Chiang Mai University, Thailand

    12 publications · 926 citations

    12

    h-index

1–5 of 9.7K

Venues

  1. PLoS ONE

    42 publications · 2.2K citations

    26

    h-index

  2. Statistics in Medicine

    33 publications · 7.6K citations

    25

    h-index

  3. Pharmacoepidemiology and Drug Safety

    21 publications · 2.1K citations

    18

    h-index

  4. American Journal of Epidemiology

    AJE · 17 publications · 2.3K citations

    15

    h-index

  5. Scientific Reports

    20 publications · 606 citations

    15

    h-index

1–5