Statistical Misconduct

Statistical Misconduct is a form of research misconduct involving the intentional or reckless manipulation, misrepresentation, or inappropriate application of statistical methods or data analysis to distort research findings, thereby violating accepted scientific standards of validity and integrity.

78

Publications

4.4K

Citations

117

Authors

73

Institutions

Publications per year

2017–2026

15

Authors

117

  1. HM
    Harvey Motulsky

    University of California San Diego, United States

    4 publications · 296 citations

    4

    h-index

  2. DB
    David B. Resnik

    National Institute of Environmental Health Sciences, United States

    4 publications · 240 citations

    4

    h-index

  3. US
    Uri Simonsohn

    University of Pennsylvania, United States

    3 publications · 288 citations

    3

    h-index

  4. SG
    Stephen Gorard

    Durham University, United Kingdom

    3 publications · 88 citations

    3

    h-index

  5. WJ
    W. J. Reichmann

    3 publications · 46 citations

    3

    h-index

1–5 of 117

Venues

  1. 6

    h-index

  2. Accountability in Research

    5 publications · 358 citations

    5

    h-index

  3. Science

    4 publications · 77 citations

    4

    h-index

  4. CHANCE

    3 publications · 78 citations

    3

    h-index

  5. PubMed

    Repository · 2 publications · 47 citations

    2

    h-index

1–5