False Discovery Rate

False Discovery Rate is a statistical error rate in hypothesis testing that quantifies the expected proportion of incorrectly rejected null hypotheses among all rejected hypotheses.

2.4K

Publications

375.5K

Citations

12K

Authors

2.8K

Institutions

Publications per year

2017–2026

882

Authors

12K

  1. YB
    Yoav Benjamini

    Tel Aviv University, Israel

    25 publications · 131.5K citations

    24

    h-index

  2. WS
    William Stafford Noble

    University of Washington, United States

    21 publications · 6.6K citations

    18

    h-index

  3. TC
    Tommaso Cai

    University of Pennsylvania, United States

    17 publications · 1.5K citations

    17

    h-index

  4. RT
    Robert Tibshirani

    Stanford University, United States

    21 publications · 25K citations

    17

    h-index

  5. OA
    Ole A. Andreassen

    University of Oslo, Norway

    17 publications · 1.2K citations

    15

    h-index

1–5 of 12K

Venues

  1. Bioinformatics

    136 publications · 22.9K citations

    59

    h-index

  2. Journal of Proteome Research

    JPR · 98 publications · 6.4K citations

    45

    h-index

  3. Journal of the American Statistical Association

    64 publications · 11.2K citations

    39

    h-index

  4. BMC Bioinformatics

    91 publications · 7.6K citations

    38

    h-index

  5. PLoS ONE

    80 publications · 4K citations

    36

    h-index

1–5