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FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets.

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Title: FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets.
Authors: Parekh, Pravesh1,2 (AUTHOR) praveshparekh@gmail.com, Parker, Nadine1 (AUTHOR), Pecheva, Diliana2 (AUTHOR), Frei, Evgeniia1 (AUTHOR), Vaudel, Marc3,4,5 (AUTHOR), Smith, Diana M.6,7 (AUTHOR), Rigby, Alison8 (AUTHOR), Jahołkowski, Piotr1 (AUTHOR), Sønderby, Ida Elken1,9 (AUTHOR), Birkenæs, Viktoria1,10 (AUTHOR), Bakken, Nora Refsum1,10 (AUTHOR), Fan, Chun Chieh11 (AUTHOR), Makowski, Carolina12 (AUTHOR), Kopal, Jakub1 (AUTHOR), Loughnan, Robert2,13 (AUTHOR), Hagler Jr, Donald J.2 (AUTHOR), van der Meer, Dennis1 (AUTHOR), Johansson, Stefan3,14 (AUTHOR), Njølstad, Pål Rasmus3,14 (AUTHOR), Jernigan, Terry L.6,12,15,16 (AUTHOR)
Source: PLoS Genetics. 6/11/2026, Vol. 22 Issue 6, p1-33. 33p.
Database: Academic Search Ultimate
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ISSN:15537390
DOI:10.1371/journal.pgen.1012184