Permutation Tests

Permutation Tests is a statistical hypothesis testing method that assesses the significance of observed effects by comparing the original test statistic to its distribution under all possible permutations of treatment assignments, assuming exchangeability under the null hypothesis.

773

Publications

120.2K

Citations

1.9K

Authors

869

Institutions

Publications per year

2017–2026

155

Authors

1.9K

  1. LS
    Luigi Salmaso

    University of Padua, Italy

    21 publications · 619 citations

    16

    h-index

  2. PW
    Paul W. Mielke

    Colorado State University, United States

    18 publications · 927 citations

    14

    h-index

  3. KJ
    Kenneth J. Berry

    Colorado State University, United States

    15 publications · 872 citations

    13

    h-index

  4. FP
    Fortunato Pesarin

    University of Padua, Italy

    11 publications · 299 citations

    11

    h-index

  5. MP
    Markus Pauly

    TU Dortmund University, Germany

    9 publications · 502 citations

    9

    h-index

1–5 of 1.9K

Venues

  1. Journal of the American Statistical Association

    32 publications · 2.2K citations

    22

    h-index

  2. Bioinformatics

    21 publications · 2.5K citations

    17

    h-index

  3. Statistics in Medicine

    24 publications · 8.7K citations

    16

    h-index

  4. Biometrics

    20 publications · 949 citations

    16

    h-index

  5. Communication in Statistics- Theory and Methods

    19 publications · 953 citations

    15

    h-index

1–5