Least Significant Difference Test

The Least Significant Difference Test is a post hoc statistical procedure used in the analysis of variance to determine the smallest difference between treatment means that is considered statistically significant, distinguishing it from other multiple comparison methods by its reliance on individual pairwise t-tests without adjustment for family-wise error rate.

233

Publications

13.8K

Citations

781

Authors

308

Institutions

Publications per year

2017–2026

48

Variants

Fisher's Least Significant Difference TestFisher's LsdLsd Test

Authors

781

  1. SG
    S. G. Carmer

    University of Illinois Urbana-Champaign, United States

    8 publications · 1.6K citations

    8

    h-index

  2. WM
    W. M. Walker

    University of Illinois Urbana-Champaign, United States

    4 publications · 680 citations

    4

    h-index

  3. DJ
    David J. Saville

    Statistics New Zealand, New Zealand

    3 publications · 208 citations

    3

    h-index

  4. JP
    Juliet Popper Shaffer

    University of California, Berkeley, United States

    2 publications · 60 citations

    2

    h-index

  5. WW
    Wahyu Wardiana Dewi

    2 publications · 26 citations

    2

    h-index

1–5 of 781

Venues

  1. PubMed

    Repository · 10 publications · 333 citations

    10

    h-index

  2. Journal of the American Statistical Association

    6 publications · 1.8K citations

    6

    h-index

  3. Journal of Clinical Densitometry

    5 publications · 106 citations

    5

    h-index

  4. Agronomy Journal

    5 publications · 704 citations

    5

    h-index

  5. Psychological Bulletin

    4 publications · 220 citations

    4

    h-index

1–5