Multiple Comparison Adjustment

Multiple Comparison Adjustment is a statistical correction method that controls the family-wise error rate or false discovery rate when simultaneously conducting multiple hypothesis tests to reduce the likelihood of Type I errors.

384

Publications

61.4K

Citations

915

Authors

481

Institutions

Publications per year

2017–2026

62

Authors

915

  1. PH
    Peter H. Westfall

    Texas Tech University, United States

    9 publications · 3.8K citations

    9

    h-index

  2. TE
    Thomas E. Nichols

    University of Oxford, United Kingdom

    5 publications · 553 citations

    5

    h-index

  3. AC
    Ajit C. Tamhane

    Northwestern University, United States

    5 publications · 909 citations

    5

    h-index

  4. LA
    Ludwig A. Hothorn

    Leibniz University Hannover, Germany

    4 publications · 80 citations

    4

    h-index

  5. RD
    R D Tobias

    SAS Institute (United States), United States

    3 publications · 384 citations

    3

    h-index

1–5 of 915

Venues

  1. Statistics in Medicine

    22 publications · 949 citations

    18

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 10 publications · 342 citations

    10

    h-index

  3. Biometrics

    10 publications · 3.1K citations

    10

    h-index

  4. Biometrika

    10 publications · 7.8K citations

    10

    h-index

  5. 9

    h-index

1–5