Adaptive Crossover Designs

Adaptive Crossover Designs is a type of longitudinal experimental design in which treatment sequences are systematically modified based on accumulating data or predefined adaptation rules, thereby distinguishing it from conventional crossover designs by incorporating data-driven adjustments while preserving within-subject comparisons.

30

Publications

1.5K

Citations

106

Authors

57

Institutions

Publications per year

2017–2026

14

Authors

106

  1. JA
    Jâafar Abouchabaka

    Université Ibn-Tofail, Morocco

    2 publications · 137 citations

    2

    h-index

  2. OA
    Otman Abdoun

    Abdelmalek Essaâdi University, Morocco

    2 publications · 137 citations

    2

    h-index

  3. YZ
    Yuanhao Zhao

    Dalian Maritime University, China

    1 publications · 24 citations

    1

    h-index

  4. MC
    Matthew C. Morrissey

    King's College London, United Kingdom

    1 publications · 22 citations

    1

    h-index

  5. CT
    Carole Traole

    King's College London, United Kingdom

    1 publications · 22 citations

    1

    h-index

1–5 of 106

Venues

  1. IEEE Access

    3 publications · 84 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 137 citations

    2

    h-index

  3. Jisuanji gongcheng

    1 publications · 12 citations

    1

    h-index

  4. IEEE Transactions on Evolutionary Computation

    1 publications · 303 citations

    1

    h-index

  5. Sustainability

    1 publications · 21 citations

    1

    h-index

1–5