Westfall-young Procedure

The Westfall-Young Procedure is a resampling-based multiplicity adjustment method in multiple hypothesis testing that controls the family-wise error rate by accounting for the dependence structure among test statistics through permutation or bootstrap sampling to compute adjusted p-values.

25

Publications

3.4K

Citations

40

Authors

30

Institutions

Publications per year

2017–2026

1

Variants

Westfall-young AdjustmentWestfall-young Method

Authors

40

  1. JT
    James Troendle

    National Institutes of Health, United States

    3 publications · 147 citations

    3

    h-index

  2. LP
    Laetitia Papaxanthos

    ETH Zurich, Switzerland

    2 publications · 74 citations

    2

    h-index

  3. MN
    Minoo Niknian

    Bayer (United States), United States

    2 publications · 1.6K citations

    2

    h-index

  4. MS
    Mahito Sugiyama

    The University of Osaka, Japan

    2 publications · 74 citations

    2

    h-index

  5. EG
    Ekkehard Glimm

    Novartis (Switzerland), Switzerland

    2 publications · 42 citations

    2

    h-index

1–5 of 40

Venues

  1. Technometrics

    3 publications · 2.6K citations

    3

    h-index

  2. 2

    h-index

  3. Biometrical Journal

    1 publications · 24 citations

    1

    h-index

  4. Journal of Quality Technology

    1 publications · 19 citations

    1

    h-index

  5. Australian Journal of Statistics

    AJS · 1 publications · 23 citations

    1

    h-index

1–5