Statistical Evidence Testimony

Statistical Evidence Testimony is a form of expert witness testimony that involves the presentation and interpretation of quantitative data analyses, probabilistic inferences, or statistical models to support or challenge conclusions within legal proceedings, distinguished by its reliance on mathematical rigor and empirical methodology to establish the relevance, reliability, and significance of statistical findings in judicial contexts.

49

Publications

3.4K

Citations

84

Authors

60

Institutions

Publications per year

2017–2026

11

Authors

84

  1. JJ
    Jonathan J. Koehler

    Northwestern University, Philippines

    5 publications · 191 citations

    5

    h-index

  2. DH
    David H. Kaye

    Pennsylvania State University, United States

    4 publications · 238 citations

    4

    h-index

  3. PR
    Paul Roberts

    University of California, Los Angeles, United States

    2 publications · 99 citations

    2

    h-index

  4. WC
    William C. Thompson

    University of California, Irvine, United States

    2 publications · 462 citations

    2

    h-index

  5. GJ
    Graham Jackson

    Abertay University, United Kingdom

    2 publications · 99 citations

    2

    h-index

1–5 of 84

Venues

  1. Law and Human Behavior

    3 publications · 485 citations

    3

    h-index

  2. PLoS ONE

    2 publications · 39 citations

    2

    h-index

  3. Journal of Personality and Social Psychology

    2 publications · 277 citations

    2

    h-index

  4. 2

    h-index

  5. The International Journal of Evidence & Proof

    2 publications · 25 citations

    2

    h-index

1–5