Ascertainment Bias

Ascertainment Bias is a type of selection bias arising when the method or process of identifying or measuring cases in a study systematically differs across groups or populations, leading to non-representative sampling and distorted estimates of the phenomenon under investigation.

363

Publications

34.5K

Citations

1.7K

Authors

708

Institutions

Publications per year

2017–2026

53

Authors

1.7K

  1. RN
    Rasmus Nielsen

    University of California, Berkeley, United States

    5 publications · 1.1K citations

    5

    h-index

  2. SV
    Stephen V. Faraone

    SUNY Upstate Medical University, United States

    4 publications · 262 citations

    4

    h-index

  3. HJ
    Heather J. Cordell

    Newcastle University, United Kingdom

    3 publications · 125 citations

    3

    h-index

  4. JM
    Jane M. Olson

    Case Western Reserve University, United States

    3 publications · 137 citations

    3

    h-index

  5. VJ
    Veronica J. Vieland

    University of Iowa, United States

    3 publications · 92 citations

    3

    h-index

1–5 of 1.7K

Venues

  1. Genetic Epidemiology

    13 publications · 448 citations

    12

    h-index

  2. PubMed

    Repository · 13 publications · 651 citations

    12

    h-index

  3. American Journal of Medical Genetics

    13 publications · 569 citations

    11

    h-index

  4. PLoS ONE

    10 publications · 944 citations

    10

    h-index

  5. Molecular Biology and Evolution

    MBE · 9 publications · 2.8K citations

    9

    h-index

1–5