Length-biased Sampling

Length-Biased Sampling is a form of selection bias in observational studies where the probability of selecting an individual or event is proportional to its duration or length, leading to overrepresentation of longer-lasting instances within the sample.

87

Publications

4.6K

Citations

163

Authors

127

Institutions

Publications per year

2017–2026

4

Authors

163

  1. JQ
    Jing Qin

    National Institute of Allergy and Infectious Diseases, United States

    8 publications · 430 citations

    8

    h-index

  2. YS
    Yu Shen

    The University of Texas MD Anderson Cancer Center, United States

    7 publications · 377 citations

    7

    h-index

  3. JN
    Jing Ning

    The University of Texas MD Anderson Cancer Center, United States

    7 publications · 276 citations

    7

    h-index

  4. CH
    Chiung‐Yu Huang

    University of California, San Francisco, United States

    4 publications · 126 citations

    4

    h-index

  5. YZ
    Yong Zhou

    Shanghai University of Finance and Economics, China

    3 publications · 48 citations

    3

    h-index

1–5 of 163

Venues

  1. Biometrics

    8 publications · 405 citations

    8

    h-index

  2. 6

    h-index

  3. Biometrika

    5 publications · 328 citations

    5

    h-index

  4. 4

    h-index

  5. 3

    h-index

1–5