Nonrandom Sample Attrition

Nonrandom Sample Attrition is a type of sample selection bias in which the omission of observations from a dataset over time or across stages of analysis systematically depends on unobserved or observed characteristics related to the outcome of interest, leading to potentially biased and inconsistent parameter estimates.

65

Publications

6.2K

Citations

169

Authors

94

Institutions

Publications per year

2017–2026

3

Variants

Sample Attrition Bias

Authors

169

  1. TJ
    Thomas J. Kniesner

    Syracuse University, United States

    2 publications · 109 citations

    2

    h-index

  2. NW
    Nicole Watson

    The University of Melbourne, Australia

    2 publications · 72 citations

    2

    h-index

  3. JR
    Jere R. Behrman

    University of Pennsylvania, United States

    2 publications · 119 citations

    2

    h-index

  4. LC
    Lorenzo Cappellari

    Università Cattolica del Sacro Cuore, Italy

    2 publications · 292 citations

    2

    h-index

  5. SP
    Stephen P. Jenkins

    University of Essex, United Kingdom

    2 publications · 292 citations

    2

    h-index

1–5 of 169

Venues

  1. RePEc: Research Papers in Economics

    Repository · 6 publications · 154 citations

    6

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 66 citations

    3

    h-index

  3. Evaluation Review

    3 publications · 84 citations

    3

    h-index

  4. PubMed

    Repository · 3 publications · 88 citations

    3

    h-index

  5. Sociological Methods & Research

    SMR · 2 publications · 310 citations

    2

    h-index

1–5