Interactive Web Response System Randomization
Interactive Web Response System Randomization is a methodological framework within clinical trial data management that uses centralized, web-based platforms to dynamically assign study participants to treatment arms in real time, ensuring allocation concealment and minimizing selection bias through automated, protocol-driven randomization procedures.
5
Publications
698
Citations
113
Authors
98
Institutions
Publications per year
2017–2026
5
Variants
Iwrs Randomization
5
Jean‐Claude Tardif, Nadia Bouabdallaoui, Philippe L. L’Allier et al. · The Lancet Respiratory Medicine · 2021 · 271 citations · Full text
Xiaohua Wu, Jianqing Zhu, Rutie Yin et al. · Annals of Oncology · 2021 · 206 citations
Medicine, Oncology, Pharmacology +15
Iain B. McInnes, Akihiko Asahina, Laura C. Coates et al. · The Lancet · 2022 · 157 citations · Full text
T. Kinoshita, Masahiro Shinoda, Yasuhiro Nishizaki et al. · BMC Medicine · 2022 · 37 citations · Full text
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113
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1–5 of 113
98
First Hospital of Jilin University
Changchun, China
1 h-index
1 publications
206 citations
Rigshospitalet
Copenhagen, Denmark
1 h-index
1 publications
206 citations
Hubei Cancer Hospital
Wuhan, China
1 h-index
1 publications
206 citations

San Francisco General Hospital
San Francisco, United States
1 h-index
2 publications
542 citations

Zhengzhou University
Zhengzhou, China
1 h-index
1 publications
206 citations
Tokai University Hospital
Isehara, Japan
1 h-index
1 publications
37 citations
Liaoning Cancer Hospital & Institute
Shenyang, China
1 h-index
1 publications
206 citations

National and Kapodistrian University of Athens
Athens, Greece
1 h-index
1 publications
271 citations
1–8 of 98
1 publications · 27 citations
1
h-index
1 publications · 37 citations
1
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1 publications · 271 citations
1
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1 publications · 206 citations
1
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1 publications · 157 citations
1
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1–5