Multivariate Segmentation Models
Multivariate Segmentation Models is a statistical modeling framework that partitions populations into distinct risk-based subgroups by simultaneously analyzing multiple predictor variables, distinguishing it from univariate or bivariate approaches through its integrative assessment of interdependent risk factors.
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1.4K
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77
Authors
35
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2017–2026
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University of South Carolina
Columbia, United States
1 h-index
1 publications
32 citations
Foundation for Medical Research
Mumbai, India
1 h-index
1 publications
57 citations
University Centre of Legal Medicine
Lausanne, Switzerland
1 h-index
2 publications
114 citations
Graz University of Technology
Graz, Austria
1 h-index
2 publications
90 citations
University of Geneva
Geneva, Switzerland
1 h-index
1 publications
57 citations
Harvard University
Cambridge, United States
1 h-index
4 publications
60 citations
Université de Montréal
Montreal, Canada
1 h-index
3 publications
171 citations
Riverside Research Institute
New York, United States
1 h-index
1 publications
78 citations
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Conference · 1 publications · 10 citations
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1 publications · 39 citations
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1 publications · 45 citations
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