Adaptive Sequential Designs

Adaptive Sequential Designs is a type of sequential testing framework that dynamically modifies its sampling or decision rules at each stage based on accumulating data, thereby distinguishing itself from fixed-sample or rigid sequential designs through its capacity for real-time adaptation to observed outcomes.

180

Publications

13.5K

Citations

462

Authors

293

Institutions

Publications per year

2017–2026

41

Authors

462

  1. MP
    Martin Posch

    Medical University of Vienna, Austria

    9 publications · 718 citations

    9

    h-index

  2. PB
    Péter Bauer

    Statistics Austria, Austria

    9 publications · 713 citations

    9

    h-index

  3. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    8 publications · 727 citations

    8

    h-index

  4. WB
    Werner Brannath

    Medical University of Vienna, Austria

    7 publications · 690 citations

    7

    h-index

  5. NS
    Nigel Stallard

    University of Warwick, United Kingdom

    6 publications · 286 citations

    6

    h-index

1–5 of 462

Venues

  1. Statistics in Medicine

    27 publications · 1.6K citations

    20

    h-index

  2. Biometrics

    12 publications · 1.5K citations

    12

    h-index

  3. Biometrical Journal

    10 publications · 346 citations

    10

    h-index

  4. Journal of Biopharmaceutical Statistics

    JBS · 10 publications · 362 citations

    10

    h-index

  5. Pharmaceutical Statistics

    6 publications · 179 citations

    6

    h-index

1–5