Attrition Bias

Attrition Bias is a type of selection bias in longitudinal studies or randomized controlled trials that arises when participant dropout is systematically related to the outcome or exposure, leading to biased estimates due to non-random loss to follow-up.

339

Publications

29.6K

Citations

1.3K

Authors

625

Institutions

Publications per year

2017–2026

73

Authors

1.3K

  1. MM
    M. Maria Glymour

    University of California, San Francisco, United States

    6 publications · 722 citations

    6

    h-index

  2. YS
    Yajuan Si

    University of Wisconsin–Madison, United States

    4 publications · 83 citations

    4

    h-index

  3. DS
    D. Sunshine Hillygus

    Duke University, United States

    4 publications · 138 citations

    4

    h-index

  4. SL
    Sharon L. Tennstedt

    New England Research Institutes, United States

    4 publications · 442 citations

    4

    h-index

  5. FD
    Fredric D. Wolinsky

    University of Iowa, United States

    4 publications · 442 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. PubMed

    Repository · 12 publications · 323 citations

    11

    h-index

  2. BMC Medical Research Methodology

    10 publications · 4.5K citations

    10

    h-index

  3. SSRN Electronic Journal

    Repository · 10 publications · 269 citations

    10

    h-index

  4. Evaluation Review

    9 publications · 258 citations

    9

    h-index

  5. Statistics in Medicine

    8 publications · 287 citations

    8

    h-index

1–5