Sequential Monitoring Boundaries

Sequential Monitoring Boundaries is a statistical decision framework used in trial sequential analysis that defines predefined thresholds for early termination of a cumulative meta-analysis due to sufficient evidence of efficacy or futility, thereby controlling the overall Type I error rate in the presence of repeated significance testing.

28

Publications

4.2K

Citations

57

Authors

41

Institutions

Publications per year

2017–2026

2

Authors

57

  1. DL
    David L. DeMets

    University of Wisconsin–Madison, United States

    3 publications · 355 citations

    3

    h-index

  2. JW
    Jørn Wetterslev

    Rigshospitalet, Denmark

    2 publications · 2.1K citations

    2

    h-index

  3. FH
    Feifang Hu

    University of Virginia, United States

    2 publications · 66 citations

    2

    h-index

  4. CG
    Christian Gluud

    Copenhagen University Hospital, Denmark

    2 publications · 2.1K citations

    2

    h-index

  5. AI
    Anne I. Goldman

    University of Minnesota, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 57

Venues

  1. Biometrics

    5 publications · 262 citations

    5

    h-index

  2. Statistics in Medicine

    3 publications · 336 citations

    3

    h-index

  3. Controlled Clinical Trials

    3 publications · 479 citations

    3

    h-index

  4. Statistical Methods in Medical Research

    1 publications · 57 citations

    1

    h-index

  5. Biometrika

    1 publications · 136 citations

    1

    h-index

1–5