Multiple Endpoint Adjustment

Multiple Endpoint Adjustment is a statistical methodology within the broader class of multiple comparison procedures that specifically addresses the inflation of Type I error rates arising from the simultaneous evaluation of multiple outcome measures or endpoints in a single study.

20

Publications

1.5K

Citations

68

Authors

50

Institutions

Publications per year

2017–2026

1

Variants

Multiple Endpoint Correction

Authors

68

  1. AJ
    Abdul J. Sankoh

    Sage Therapeutics (United States), United States

    3 publications · 256 citations

    3

    h-index

  2. MF
    Mohammad F. Huque

    Office of Science, United States

    2 publications · 131 citations

    2

    h-index

  3. HQ
    Hui Quan

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    2 publications · 191 citations

    2

    h-index

  4. RB
    Ralph B. D’Agostino

    Boston University, United States

    2 publications · 131 citations

    2

    h-index

  5. AK
    Alok Krishen

    Research Triangle Park Foundation, United States

    2 publications · 188 citations

    2

    h-index

1–5 of 68

Venues

  1. Statistics in Medicine

    7 publications · 398 citations

    7

    h-index

  2. Controlled Clinical Trials

    3 publications · 427 citations

    3

    h-index

  3. Drug Information Journal

    DIA · 2 publications · 146 citations

    2

    h-index

  4. Global Cardiology

    1 publications · 15 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 15 citations

    1

    h-index

1–5