Joint Association Modeling
Joint Association Modeling is a statistical framework that integrates multiple omics data types to simultaneously assess their associations with a phenotype or outcome, distinguished from sequential or univariate approaches by its capacity to model inter-omics interactions and dependencies within a unified multivariate system.
143
Publications
11K
Citations
775
Authors
430
Institutions
Publications per year
2017–2026
51
Variants
Joint Association Analysis
143
The prognostic analogue of the propensity score
B. B. Hansen · Biometrika · 2008 · 372 citations
Adiposity Compared With Physical Inactivity and Risk of Type 2 Diabetes in Women
Jamal S. Rana, Tricia Y. Li, JoAnn E. Manson et al. · Diabetes Care · 2006 · 201 citations · Full text
1–5 of 143
775
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National Research Centre for the Working Environment, Denmark
3 publications · 105 citations
3
h-index
1–5 of 775
430
Harvard University
Cambridge, United States
13 h-index
35 publications
3.2K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
30 publications
1.6K citations

The University of Melbourne
Melbourne, Australia
5 h-index
18 publications
1.1K citations

University of Minnesota
Minneapolis, United States
4 h-index
6 publications
340 citations
National Cancer Institute
Bethesda, United States
4 h-index
11 publications
830 citations
Aalborg University
Aalborg, Denmark
4 h-index
4 publications
130 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
4 publications
269 citations

Pennsylvania State University
State College, United States
4 h-index
9 publications
368 citations
1–8 of 430
9 publications · 268 citations
9
h-index
7 publications · 247 citations
7
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AJE · 5 publications · 276 citations
5
h-index
5 publications · 852 citations
5
h-index
CSDA · 3 publications · 79 citations
3
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1–5