Multivariate Symptom Modeling
Multivariate Symptom Modeling is a statistical framework that simultaneously analyzes multiple interrelated symptoms to identify underlying patterns, interactions, and predictive relationships within a given clinical or population context.
11
Publications
548
Citations
50
Authors
37
Institutions
Publications per year
2017–2026
5
11
Brain Network Informed Subject Community Detection In Early-Onset Schizophrenia
Zhi Yang, Yong Xu, Ting Xu et al. · Scientific Reports · 2014 · 60 citations · Full text
Medicine, Neuroscience, Psychiatry +17
1–5 of 11
50
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 50
37
National Institute of Mental Health
Bethesda, United States
1 h-index
4 publications
240 citations
Salford Royal NHS Foundation Trust
Salford, United Kingdom
1 h-index
1 publications
23 citations
University of Washington
Seattle, United States
1 h-index
3 publications
147 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
4 publications
60 citations
Seattle University
Seattle, United States
1 h-index
1 publications
49 citations
Centre for Epidemiology Versus Arthritis
Manchester, United Kingdom
1 h-index
4 publications
92 citations

Imperial College London
London, United Kingdom
1 h-index
1 publications
17 citations

Soochow University
Suzhou, China
1 h-index
1 publications
17 citations
1–8 of 37
1 publications · 15 citations
1
h-index
1 publications · 45 citations
1
h-index
1 publications · 17 citations
1
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1 publications · 68 citations
1
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1 publications · 222 citations
1
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1–5