Selection Bias Analysis

Selection Bias Analysis is a methodological framework within library deconvolution that identifies and quantifies systematic distortions arising from non-random selection of components in pooled screening experiments to correct inferred functional relationships.

2.3K

Publications

195.4K

Citations

8.3K

Authors

2.6K

Institutions

Publications per year

2017–2026

686

Authors

8.3K

  1. SR
    Stephen R. Cole

    University of North Carolina at Chapel Hill, United States

    10 publications · 4.6K citations

    10

    h-index

  2. JJ
    James J. Heckman

    University of Chicago, United States

    9 publications · 8.6K citations

    9

    h-index

  3. MA
    Miguel A. Hernán

    Harvard University, United States

    8 publications · 6.3K citations

    8

    h-index

  4. WM
    Wanglin Ma

    Lincoln University, New Zealand

    7 publications · 299 citations

    7

    h-index

  5. VW
    Vance W. Berger

    National Cancer Institute, United States

    7 publications · 733 citations

    7

    h-index

1–5 of 8.3K

Venues

  1. Epidemiology

    38 publications · 7.1K citations

    31

    h-index

  2. SSRN Electronic Journal

    Repository · 83 publications · 3.8K citations

    28

    h-index

  3. American Journal of Epidemiology

    AJE · 33 publications · 4.9K citations

    25

    h-index

  4. PubMed

    Repository · 58 publications · 1.9K citations

    24

    h-index

  5. International Journal of Epidemiology

    28 publications · 4.5K citations

    23

    h-index

1–5