Weighted Multiple Testing

Weighted Multiple Testing is a multiple testing correction procedure that assigns distinct weights to individual hypotheses to prioritize certain tests over others, thereby adjusting the error control framework according to the relative importance or prior evidence associated with each hypothesis.

27

Publications

2K

Citations

82

Authors

51

Institutions

Publications per year

2017–2026

6

Variants

Weighted Multiple Hypothesis Testing

Authors

82

  1. FB
    Frank Bretz

    Novartis (Switzerland), Switzerland

    3 publications · 278 citations

    3

    h-index

  2. WM
    Willi Maurer

    Novartis (Switzerland), Switzerland

    3 publications · 278 citations

    3

    h-index

  3. LW
    Larry Wasserman

    Carnegie Mellon University, United States

    2 publications · 369 citations

    2

    h-index

  4. EG
    Ekkehard Glimm

    Novartis (Switzerland), Switzerland

    2 publications · 190 citations

    2

    h-index

  5. XC
    Xiongzhi Chen

    Washington State University, United States

    2 publications · 26 citations

    2

    h-index

1–5 of 82

Venues

  1. Biometrical Journal

    3 publications · 200 citations

    3

    h-index

  2. Cladistics

    2 publications · 110 citations

    2

    h-index

  3. Journal of Statistical Planning and Inference

    2 publications · 271 citations

    2

    h-index

  4. Statistics in Medicine

    2 publications · 109 citations

    2

    h-index

  5. Biometrika

    1 publications · 337 citations

    1

    h-index

1–5