Noninferiority Testing

Noninferiority Testing is a statistical hypothesis testing framework used to determine whether a new intervention is not worse than an existing standard by more than a pre-specified margin, typically in clinical trials where demonstrating equivalence or acceptable loss of efficacy is the goal.

522

Publications

46K

Citations

4.8K

Authors

1.9K

Institutions

Publications per year

2017–2026

230

Authors

4.8K

  1. HH
    Hung Hung

    United States Food and Drug Administration, United States

    6 publications · 359 citations

    6

    h-index

  2. YT
    Yi Tsong

    Center for Drug Evaluation and Research, United States

    5 publications · 339 citations

    5

    h-index

  3. SW
    Stephan Windecker

    University Hospital of Bern, Switzerland

    5 publications · 1.2K citations

    5

    h-index

  4. JR
    Julio Rosenstock

    Dallas Diabetes Research Center, United States

    5 publications · 1.3K citations

    5

    h-index

  5. LO
    Lisette Okkels Jensen

    Odense University Hospital, Denmark

    4 publications · 258 citations

    4

    h-index

1–5 of 4.8K

Venues

  1. New England Journal of Medicine

    NEJM · 22 publications · 8.2K citations

    22

    h-index

  2. Journal of Clinical Oncology

    17 publications · 3K citations

    16

    h-index

  3. JAMA

    15 publications · 5K citations

    15

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 18 publications · 497 citations

    13

    h-index

  5. Clinical Infectious Diseases

    CID · 13 publications · 922 citations

    12

    h-index

1–5