Bias Correction Verification

Bias Correction Verification is a methodological process that evaluates the effectiveness and accuracy of bias correction techniques by systematically comparing corrected data or model outputs against established benchmarks or ground truth to ensure that the intended mitigation of systematic errors has been achieved without introducing new biases.

26

Publications

1.8K

Citations

119

Authors

72

Institutions

Publications per year

2017–2026

5

Authors

119

  1. XZ
    Xiao‐Hua Zhou

    University of Washington, United States

    5 publications · 150 citations

    5

    h-index

  2. KA
    Kimberly A. Roehl

    Washington University in St. Louis, United States

    2 publications · 368 citations

    2

    h-index

  3. CR
    Cindy Rodenberg

    Procter & Gamble (United States), United States

    2 publications · 54 citations

    2

    h-index

  4. AV
    Anthony V. D’Amico

    Brigham and Women's Hospital, United States

    2 publications · 368 citations

    2

    h-index

  5. WJ
    William J. Catàlona

    Washington University in St. Louis, United States

    2 publications · 368 citations

    2

    h-index

1–5 of 119

Venues

  1. Biometrics

    3 publications · 145 citations

    3

    h-index

  2. Circulation

    2 publications · 189 citations

    2

    h-index

  3. Journal of Clinical Epidemiology

    2 publications · 37 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5