Adaptive Combinations Design

Adaptive Combinations Design is a class of adaptive experimental design that integrates multiple treatment arms and outcome measures within a single trial framework, allowing pre-specified modifications to treatment combinations or patient allocation based on accumulating data to optimize therapeutic efficacy and trial efficiency.

8

Publications

434

Citations

37

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

37

  1. MP
    Martin Posch

    Medical University of Vienna, Austria

    3 publications · 287 citations

    3

    h-index

  2. WB
    Werner Brannath

    Medical University of Vienna, Austria

    2 publications · 238 citations

    2

    h-index

  3. FB
    Frank Bretz

    Novartis (Switzerland), Switzerland

    2 publications · 178 citations

    2

    h-index

  4. VV
    Valerii V. Fedorov

    GlaxoSmithKline (United States), United States

    1 publications · 72 citations

    1

    h-index

  5. WZ
    Wenle Zhao

    Medical University of South Carolina, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 37

Venues

  1. Statistics in Medicine

    2 publications · 238 citations

    2

    h-index

  2. Annals of Oncology

    1 publications · 21 citations

    1

    h-index

  3. Journal of Statistical Planning and Inference

    1 publications · 72 citations

    1

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 1 publications · 23 citations

    1

    h-index

  5. Pharmaceutical Statistics

    1 publications · 49 citations

    1

    h-index

1–5