Joint Risk Modeling
Joint Risk Modeling is a formal methodological framework within interagency risk assessment that integrates multi-source risk data and analytical approaches across organizational boundaries to produce a unified, coherent representation of risk, distinguished by its emphasis on collaborative, cross-agency input synthesis and shared modeling assumptions.
47
Publications
2.1K
Citations
137
Authors
87
Institutions
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2017–2026
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Higher blood urea nitrogen is associated with increased risk of incident diabetes mellitus
Yan Xie, Benjamin Bowe, Tingting Li et al. · Kidney International · 2017 · 204 citations · Full text
David M. Rocke, Michael Zasloff, Jeannie L. Peeper et al. · Clinical Orthopaedics and Related Research · 1994 · 121 citations
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Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
3 h-index
3 publications
80 citations
Tinbergen Institute
Rotterdam, The Netherlands
3 h-index
3 publications
80 citations

Swedish National Bank
Stockholm, Sweden
3 h-index
3 publications
80 citations
European Central Bank
Frankfurt am Main, Germany
3 h-index
3 publications
80 citations
Dana-Farber/Harvard Cancer Center
Boston, United States
2 h-index
2 publications
106 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
7 publications
111 citations

Washington University in St. Louis
St Louis, United States
2 h-index
8 publications
737 citations
Dana-Farber Cancer Institute
Boston, United States
2 h-index
2 publications
106 citations
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Repository · 4 publications · 155 citations
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3 publications · 61 citations
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2 publications · 127 citations
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2 publications · 31 citations
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2 publications · 94 citations
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