Statistical Risk Modeling
Statistical Risk Modeling is a computational framework that belongs to the class of quantitative risk assessment methods, distinguished by its use of statistical techniques to estimate the probability and impact of criminal events based on empirical data and predictive variables.
141
Publications
10.5K
Citations
389
Authors
201
Institutions
Publications per year
2017–2026
38
Parents
141
How to develop a more accurate risk prediction model when there are few events
Menelaos Pavlou, Gareth Ambler, Shaun R. Seaman et al. · BMJ · 2015 · 682 citations · Full text
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University of California, Berkeley
Berkeley, United States
5 h-index
11 publications
914 citations
Yale University
New Haven, United States
4 h-index
7 publications
715 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
341 citations

Imperial College London
London, United Kingdom
3 h-index
4 publications
2.3K citations
Iowa State University
Ames, United States
3 h-index
3 publications
734 citations
KU Leuven
Leuven, Belgium
3 h-index
10 publications
340 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
4 publications
331 citations
Michigan State University
East Lansing, United States
3 h-index
5 publications
715 citations
1–8 of 201
Repository · 6 publications · 195 citations
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4 publications · 2.4K citations
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4 publications · 200 citations
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3 publications · 76 citations
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3 publications · 188 citations
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