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
8
Adaptive Dunnett tests for treatment selection
Franz Koenig, Werner Brannath, Frank Bretz et al. · Statistics in Medicine · 2007 · 129 citations
Issues in designing flexible trials
Martin Posch, Péter Bauer, Werner Brannath · Statistics in Medicine · 2003 · 109 citations
1–5 of 8
37
3
h-index
2
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2
h-index
1
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1
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1–5 of 37
11
Medical University of Vienna
Vienna, Austria
2 h-index
4 publications
436 citations
Novartis (Switzerland)
Basel, Switzerland
2 h-index
3 publications
227 citations
GlaxoSmithKline (United States)
Philadelphia, United States
1 h-index
3 publications
216 citations
University of Virginia
Charlottesville, United States
1 h-index
3 publications
63 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
23 citations
Humboldt-Universität zu Berlin
Berlin, Germany
1 h-index
18 publications
216 citations

University of Rochester
Rochester, United States
1 h-index
1 publications
23 citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
1 h-index
1 publications
12 citations
1–8 of 11
2 publications · 238 citations
2
h-index
1 publications · 21 citations
1
h-index
1 publications · 72 citations
1
h-index
JBS · 1 publications · 23 citations
1
h-index
1 publications · 49 citations
1
h-index
1–5