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
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Jilin University
Changchun, China
2 h-index
8 publications
212 citations
University of California, San Francisco
San Francisco, United States
1 h-index
1 publications
35 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
35 citations

Hiroshima University
Hiroshima, Japan
1 h-index
1 publications
17 citations

Shenzhen University
Shenzhen, China
1 h-index
9 publications
585 citations
Zhengzhou Institute of Machinery
Zhengzhou, China
1 h-index
1 publications
24 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
1 h-index
2 publications
44 citations
Tiangong University
Tianjin, China
1 h-index
1 publications
193 citations
1–8 of 57
3 publications · 84 citations
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Repository · 2 publications · 137 citations
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1 publications · 12 citations
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1 publications · 303 citations
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1 publications · 21 citations
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