Sampling Bias

Sampling Bias is a systematic error in the selection process of a sample that results in an unrepresentative subset of the population, leading to distorted estimates in spatial or other forms of statistical inference.

551

Publications

82.6K

Citations

1.7K

Authors

750

Institutions

Publications per year

2017–2026

143

Authors

1.7K

  1. DD
    Douglas D. Heckathorn

    Cornell University, United States

    6 publications · 7.3K citations

    6

    h-index

  2. JS
    Javid Shabbir

    Quaid-i-Azam University, Pakistan

    6 publications · 90 citations

    6

    h-index

  3. AK
    Anoop Kumar

    University of Lucknow, India

    5 publications · 95 citations

    5

    h-index

  4. JN
    J. N. K. Rao

    Carleton University, Canada

    4 publications · 159 citations

    4

    h-index

  5. KF
    Klaus Fiedler

    Heidelberg University, Germany

    4 publications · 282 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. Journal of the American Statistical Association

    34 publications · 3.2K citations

    21

    h-index

  2. PLoS ONE

    10 publications · 2.1K citations

    10

    h-index

  3. Public Opinion Quarterly

    POQ · 11 publications · 629 citations

    10

    h-index

  4. Biometrika

    11 publications · 597 citations

    10

    h-index

  5. arXiv (Cornell University)

    Repository · 10 publications · 301 citations

    10

    h-index

1–5