Multivariate Screening Models
Multivariate Screening Models is a statistical framework in prenatal risk assessment that integrates multiple biomarkers and clinical variables into a single predictive model to estimate the probability of specific fetal abnormalities, distinguishing itself from univariate or sequential screening approaches by simultaneously analyzing diverse risk factors within a unified algorithm.
93
Publications
4.9K
Citations
646
Authors
217
Institutions
Publications per year
2017–2026
29
Parents
93
Bryann Bromley, Ellice Lieberman, Thomas Shipp et al. · Journal of Ultrasound in Medicine · 2002 · 213 citations
Understanding Disability in Mental and General Medical Conditions
Benjamin G. Druss, S C Marcus, Robert A. Rosenheck et al. · American Journal of Psychiatry · 2000 · 172 citations
Indicators of amyloid burden in a population-based study of cognitively normal elderly
Michelle M. Mielke, Heather J. Wiste, Stephen D. Weigand et al. · Neurology · 2012 · 161 citations · Full text
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Harvard University
Cambridge, United States
5 h-index
17 publications
1.3K citations
University of Michigan
Ann Arbor, United States
5 h-index
14 publications
624 citations
Massachusetts General Hospital
Boston, United States
4 h-index
13 publications
1.2K citations

Brigham and Women's Hospital
Boston, United States
4 h-index
8 publications
979 citations

Universitat Rovira i Virgili
Tarragona, Spain
3 h-index
10 publications
461 citations

Johns Hopkins University
Baltimore, United States
3 h-index
3 publications
350 citations

University of Basilicata
Potenza, Italy
2 h-index
8 publications
768 citations

Uppsala University
Uppsala, Sweden
2 h-index
2 publications
95 citations
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Repository · 4 publications · 85 citations
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3 publications · 101 citations
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JPH · 2 publications · 164 citations
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2 publications · 67 citations
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2 publications · 149 citations
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