Truncation Bias

Truncation Bias is a type of selection bias that arises when data are systematically excluded from analysis based on the value of the dependent variable, leading to a truncated sample that fails to represent the full population distribution.

77

Publications

10.2K

Citations

237

Authors

116

Institutions

Publications per year

2017–2026

10

Variants

Truncated Sample Bias

Authors

237

  1. AK
    Anrudh K. Jain

    Population Council, United States

    3 publications · 107 citations

    3

    h-index

  2. RL
    Roger Lord

    Erasmus University Rotterdam, Netherlands

    3 publications · 453 citations

    3

    h-index

  3. RA
    Ralph A. Alexander

    University of Akron, United States

    3 publications · 64 citations

    3

    h-index

  4. DV
    Dick van Dijk

    Erasmus University Rotterdam, Netherlands

    3 publications · 453 citations

    3

    h-index

  5. EA
    Ellen A. Eisen

    University of California, Berkeley, United States

    3 publications · 122 citations

    3

    h-index

1–5 of 237

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 214 citations

    6

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 4 publications · 109 citations

    4

    h-index

  3. American Journal of Epidemiology

    AJE · 4 publications · 187 citations

    4

    h-index

  4. Population Studies

    3 publications · 107 citations

    3

    h-index

  5. Epidemiology

    3 publications · 157 citations

    3

    h-index

1–5