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

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Published in:PLoS Genetics
Format: Online Article RSS Article
Published: 2026
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container_title PLoS Genetics
description
discipline_display Genetics
discipline_facet Genetics
format Online Article
RSS Article
genre Journal Article
id rss_article:90470
institution FRELIP
journal_source_facet PLoS Genetics
last_indexed 2026-06-12T02:00:46.663Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
Genetics
General
Genetics
sub_discipline_display General
sub_discipline_facet General
subject_display Genetics
General
Genetics
Genetics
General
Genetics
subject_facet Genetics
General
Genetics
title FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_auth FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_full FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_fullStr FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_full_unstemmed FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_short FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
title_sort fema-long: modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
topic Genetics
General
Genetics
url https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1012184