Bayesian Futility Monitoring

Bay筼esian Futility Monitoring is a Bayesian adaptive trial design methodology that uses accumulating evidence to assess the probability of a treatment failing to achieve a clinically meaningful effect, thereby enabling early termination of a study if posterior predictive probabilities indicate insufficient benefit.

2

Publications

61

Citations

29

Authors

15

Institutions

Publications per year

2017–2026

2

Authors

29

  1. KS
    Kathylynn Saboda

    University of Arizona, United States

    1 publications · 48 citations

    1

    h-index

  2. MJ
    Michael J. Silverberg

    Kaiser Permanente, United States

    1 publications · 13 citations

    1

    h-index

  3. JE
    Julie E. Bauman

    University of Pittsburgh, United States

    1 publications · 48 citations

    1

    h-index

  4. SW
    Steven Wang

    Janssen (Belgium), Belgium

    1 publications · 48 citations

    1

    h-index

  5. LJ
    Lindsay J. Collin

    Emory University, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 29

Venues

  1. Journal of Clinical Oncology

    1 publications · 48 citations

    1

    h-index

  2. Epidemiology

    1 publications · 13 citations

    1

    h-index

1–2