Assignment Bias Detection

Assignment Bias Detection is a methodological procedure in experimental design that identifies systematic deviations in the allocation of subjects to treatment or control groups, thereby distinguishing it from general error detection by specifically addressing distortions in randomization integrity.

16

Publications

1.5K

Citations

51

Authors

25

Institutions

Publications per year

2017–2026

2

Variants

Srm Detection

Authors

51

  1. PS
    Pradeep Singh

    University of Hong Kong, Hong Kong SAR China

    1 publications · 24 citations

    1

    h-index

  2. AS
    Alexander Sebald

    University of Copenhagen, Denmark

    1 publications · 20 citations

    1

    h-index

  3. MA
    Maureen A. Pirog

    Indiana University Bloomington, United States

    1 publications · 24 citations

    1

    h-index

  4. CB
    Camille B. Wortman

    University of Michigan, United States

    1 publications · 24 citations

    1

    h-index

  5. SB
    Sharen Bowman

    Dalhousie University, Canada

    1 publications · 53 citations

    1

    h-index

1–5 of 51

Venues

  1. Journal of Experimental Criminology

    2 publications · 29 citations

    2

    h-index

  2. New England Journal of Medicine

    NEJM · 1 publications · 879 citations

    1

    h-index

  3. Value in Health

    1 publications · 16 citations

    1

    h-index

  4. Controlled Clinical Trials

    1 publications · 38 citations

    1

    h-index

  5. The American Statistician

    1 publications · 193 citations

    1

    h-index

1–5