Adaptive Platform Trials

Adaptive Platform Trial is a type of clinical trial design that belongs to the class of longitudinal studies evaluating multiple interventions within a single master protocol, distinguished by its structured adaptability to add or drop treatment arms, modify randomization probabilities, and share control groups over time based on interim Bayesian analyses.

45

Publications

2.5K

Citations

947

Authors

321

Institutions

Publications per year

2017–2026

41

Variants

Adaptive Platform Trial

Authors

947

  1. BR
    Benjamin R. Saville

    Vanderbilt University, United States

    8 publications · 836 citations

    8

    h-index

  2. MP
    Mahesh Parmar

    University College London, United Kingdom

    6 publications · 197 citations

    6

    h-index

  3. CB
    Christopher Butler

    University of Oxford, United Kingdom

    6 publications · 419 citations

    6

    h-index

  4. MA
    Michelle A. Detry

    Berry & Associates (United States), United States

    5 publications · 819 citations

    5

    h-index

  5. SB
    Scott Berry

    Berry & Associates (United States), United States

    6 publications · 876 citations

    5

    h-index

1–5 of 947

Venues

  1. Clinical Trials

    5 publications · 457 citations

    5

    h-index

  2. Trials

    4 publications · 180 citations

    4

    h-index

  3. BMJ Open

    2 publications · 55 citations

    2

    h-index

  4. Biometrics

    2 publications · 62 citations

    2

    h-index

  5. F1000Research

    2 publications · 35 citations

    2

    h-index

1–5