Bayesian Monitoring Of Futility

Bayesian Monitoring of Futility is a statistical methodology within Bayesian clinical trial design that uses accumulating evidence to assess the probability that a treatment will fail to achieve a prespecified efficacy target, thereby guiding early termination decisions when continued experimentation is unlikely to demonstrate clinically meaningful benefit.

10

Publications

538

Citations

54

Authors

33

Institutions

Publications per year

2017–2026

4

Variants

Bayesian Futility Analysis

Authors

54

  1. MP
    Mahesh Parmar

    University College London, United Kingdom

    2 publications · 129 citations

    2

    h-index

  2. SW
    Steven Wang

    Janssen (Belgium), Belgium

    1 publications · 48 citations

    1

    h-index

  3. MJ
    Michael J. Silverberg

    Kaiser Permanente, United States

    1 publications · 13 citations

    1

    h-index

  4. JB
    Joel B. Greenhouse

    Carnegie Mellon University, United States

    1 publications · 74 citations

    1

    h-index

  5. RL
    Richard Lilford

    University of Birmingham, United Kingdom

    1 publications · 49 citations

    1

    h-index

1–5 of 54

Venues

  1. Statistics in Medicine

    3 publications · 260 citations

    3

    h-index

  2. Trials

    1 publications · 44 citations

    1

    h-index

  3. International Journal of Infectious Diseases

    IJID · 1 publications · 49 citations

    1

    h-index

  4. Statistical Science

    1 publications · 74 citations

    1

    h-index

  5. Journal of Clinical Oncology

    1 publications · 48 citations

    1

    h-index

1–5