All-pairs Comparisons

All-Pairs Comparisons is a multiple comparison procedure that belongs to the class of post-hoc statistical methods and is distinguished by its systematic evaluation of every possible pairwise difference among a set of group means or conditions to identify significant distinctions while controlling for family-wise error rate or false discovery rate.

148

Publications

12.4K

Citations

265

Authors

169

Institutions

Publications per year

2017–2026

16

Variants

All-pairs Comparison

Authors

265

  1. PH
    Philip H. Ramsey

    Queens College, CUNY, United States

    9 publications · 344 citations

    8

    h-index

  2. WW
    Waldemar W. Koczkodaj

    Laurentian University, Canada

    8 publications · 449 citations

    8

    h-index

  3. SB
    Sándor Bozóki

    HUN-REN Institute for Computer Science and Control, Hungary

    5 publications · 341 citations

    5

    h-index

  4. MB
    Matteo Brunelli

    University of Trento, Italy

    4 publications · 417 citations

    4

    h-index

  5. AP
    Attila Poesz

    HUN-REN Institute for Computer Science and Control, Hungary

    3 publications · 138 citations

    3

    h-index

1–5 of 265

Venues

  1. Biometrika

    7 publications · 1.2K citations

    7

    h-index

  2. Biometrical Journal

    6 publications · 302 citations

    6

    h-index

  3. 5

    h-index

  4. Journal of the American Statistical Association

    5 publications · 1.1K citations

    5

    h-index

  5. Technometrics

    5 publications · 446 citations

    5

    h-index

1–5