Latent Variable Causal Models
Latent Variable Causal Models is a causal modeling framework that integrates unobserved (latent) variables into structural causal models to account for hidden confounding factors while enabling identification and estimation of causal relationships from multi-omics data.
280
Publications
54.1K
Citations
660
Authors
349
Institutions
Publications per year
2017–2026
87
Variants
Latent Variable Causal Modeling
Parents
280
PLS-SEM: Indeed a Silver Bullet
Joe F. Hair, Christian M. Ringle, Marko Sarstedt · The Journal of Marketing Theory and Practice · 2011 · 20.9K citations
Jose Benitez, Jörg Henseler, Ana Castillo et al. · Information & Management · 2019 · 1.7K citations · Full text
Business, Information Systems, Management Information Systems +11
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349
Carnegie Mellon University
Pittsburgh, United States
12 h-index
26 publications
1.5K citations
University of California, Los Angeles
Los Angeles, United States
12 h-index
28 publications
2.1K citations

University of Amsterdam
Amsterdam, The Netherlands
8 h-index
26 publications
4.4K citations
University of Pittsburgh
Pittsburgh, United States
6 h-index
15 publications
660 citations
University of Michigan
Ann Arbor, United States
5 h-index
6 publications
465 citations
Emory University
Atlanta, United States
5 h-index
5 publications
194 citations
Arizona State University
Tempe, United States
5 h-index
9 publications
220 citations
Columbia University
New York, United States
5 h-index
6 publications
605 citations
1–8 of 349
9 publications · 1.7K citations
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Repository · 8 publications · 578 citations
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SEM · 7 publications · 588 citations
7
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6 publications · 3.4K citations
6
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Repository · 5 publications · 105 citations
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