Interactive Web Response Systems
Interactive Web Response System is a web-based technological platform categorized as an allocation concealment method, distinguished by its use of real-time, centralized randomization to assign participants to treatment groups in clinical trials while preventing foreknowledge of allocation.
17
Publications
1.2K
Citations
144
Authors
77
Institutions
Publications per year
2017–2026
14
Parents
17
A content-based recommender system for computer science publications
Donghui Wang, Yanchun Liang, Dong Xu et al. · Knowledge-Based Systems · 2018 · 372 citations · Full text
Jean‐Claude Tardif, Nadia Bouabdallaoui, Philippe L. L’Allier et al. · The Lancet Respiratory Medicine · 2021 · 271 citations · Full text
Floyd R. Sallee, Eva Kohegyi, Joan Zhao et al. · Journal of Child and Adolescent Psychopharmacology · 2017 · 128 citations · Full text
Robert Croop, Jennifer Madonia, David Stock et al. · Headache The Journal of Head and Face Pain · 2022 · 99 citations · Full text
Linong Ji, Leili Gao, Hongwei� Jiang et al. · EClinicalMedicine · 2022 · 72 citations · Full text
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New York University
New York, United States
1 h-index
2 publications
542 citations
First Hospital of Shanxi Medical University
Taiyuan, China
1 h-index
1 publications
72 citations
Osaka City University
Osaka, Japan
1 h-index
2 publications
74 citations
Nagasaki Medical Center
Nagasaki, Japan
1 h-index
1 publications
37 citations
Tokai University Hospital
Isehara, Japan
1 h-index
1 publications
37 citations
Osaka Metropolitan University
Osaka, Japan
1 h-index
2 publications
74 citations

Cedars-Sinai Medical Center
Los Angeles, United States
1 h-index
1 publications
271 citations
OrthoCarolina
Charlotte, United States
1 h-index
1 publications
27 citations
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JCAP · 1 publications · 128 citations
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1 publications · 33 citations
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1 publications · 37 citations
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1 publications · 372 citations
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1 publications · 99 citations
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