Model Selection Bias

Model Selection Bias is a systematic error in scientific inference arising when the process of selecting a statistical or computational model is influenced by factors that lead to an overestimation of its validity, performance, or generalizability, thereby distorting the empirical conclusions drawn from it.

571

Publications

43.6K

Citations

1.5K

Authors

754

Institutions

Publications per year

2017–2026

170

Authors

1.5K

  1. AA
    Awudu Abdulai

    Christian-Albrechts-Universität zu Kiel, Germany

    7 publications · 582 citations

    7

    h-index

  2. WM
    Wanglin Ma

    Lincoln University, New Zealand

    6 publications · 524 citations

    6

    h-index

  3. GM
    Giampiero Marra

    University College London, United Kingdom

    4 publications · 95 citations

    4

    h-index

  4. RB
    Ranjula Bali Swain

    Uppsala University, Sweden

    4 publications · 105 citations

    4

    h-index

  5. RR
    Rosalba Radice

    University College London, United Kingdom

    4 publications · 95 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. SSRN Electronic Journal

    Repository · 18 publications · 433 citations

    13

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 11 publications · 228 citations

    10

    h-index

  3. PubMed

    Repository · 9 publications · 276 citations

    9

    h-index

  4. Urban Studies

    8 publications · 764 citations

    8

    h-index

  5. The Journal of Human Resources

    JHR · 7 publications · 657 citations

    7

    h-index

1–5