Multi-stage Design

Multi-Stage Design is a sequential experimentation strategy that belongs to the class of adaptive experimental designs, distinguished by its structured division of the experimental process into temporally ordered stages, each informed by prior-stage results to optimize subsequent-stage configurations.

157

Publications

7K

Citations

627

Authors

345

Institutions

Publications per year

2017–2026

54

Authors

627

  1. JW
    James Wason

    MRC Biostatistics Unit, United Kingdom

    3 publications · 226 citations

    3

    h-index

  2. ND
    Nicholas D. James

    University of Birmingham, United Kingdom

    3 publications · 292 citations

    3

    h-index

  3. MR
    Matthew R. Sydes

    MRC Clinical Trials Unit at UCL, United Kingdom

    3 publications · 292 citations

    3

    h-index

  4. PB
    Péter Bauer

    Statistics Austria, Austria

    3 publications · 82 citations

    3

    h-index

  5. JH
    Janis Hardwick

    University of Michigan, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 627

Venues

  1. Statistics in Medicine

    5 publications · 260 citations

    5

    h-index

  2. Biometrical Journal

    5 publications · 91 citations

    5

    h-index

  3. Journal of Biopharmaceutical Statistics

    JBS · 4 publications · 82 citations

    4

    h-index

  4. Statistical Methods in Medical Research

    4 publications · 200 citations

    4

    h-index

  5. 3

    h-index

1–5