Trial Registry Analysis

Trial Registry Analysis is a systematic research methodology that involves the examination and synthesis of data from prospective trial registries to detect, quantify, and correct for publication bias by identifying discrepancies between registered and published study outcomes.

160

Publications

11.8K

Citations

1K

Authors

470

Institutions

Publications per year

2017–2026

72

Authors

1K

  1. JS
    Judith S. Hochman

    New York University, United States

    13 publications · 3.6K citations

    13

    h-index

  2. LA
    Lynn A. Sleeper

    Boston Children's Hospital, United States

    11 publications · 2.7K citations

    11

    h-index

  3. JG
    John G. Webb

    University of British Columbia, Canada

    7 publications · 1.9K citations

    7

    h-index

  4. JS
    James Slater

    New York University, United States

    6 publications · 1.7K citations

    6

    h-index

  5. TH
    Thierry H. LeJemtel

    Albert Einstein College of Medicine, United States

    5 publications · 1.8K citations

    5

    h-index

1–5 of 1K

Venues

  1. BMJ Open

    12 publications · 583 citations

    12

    h-index

  2. PLoS ONE

    11 publications · 455 citations

    11

    h-index

  3. Journal of the American College of Cardiology

    JACC · 11 publications · 3.2K citations

    11

    h-index

  4. Journal of Clinical Epidemiology

    7 publications · 218 citations

    7

    h-index

  5. Trials

    5 publications · 260 citations

    5

    h-index

1–5