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Open Access

Peer-reviewed

Research Article

LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis

Perseverence Savieri ,

Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: Perseverence.Savieri@vub.ac.be

Affiliations Biostatistics and Medical Informatics Research Group (BISI), Vrije Universiteit Brussel (VUB), Brussels, Belgium, Core Facility - Support for Quantitative and Qualitative Research (SQUARE), Vrije Universiteit Brussel (VUB), Brussels, Belgium

https://orcid.org/0000-0001-7853-0421

⨯
Lara Stas,

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliations Biostatistics and Medical Informatics Research Group (BISI), Vrije Universiteit Brussel (VUB), Brussels, Belgium, Core Facility - Support for Quantitative and Qualitative Research (SQUARE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
⨯
Kurt Barbé

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliations Biostatistics and Medical Informatics Research Group (BISI), Vrije Universiteit Brussel (VUB), Brussels, Belgium, Core Facility - Support for Quantitative and Qualitative Research (SQUARE), Vrije Universiteit Brussel (VUB), Brussels, Belgium
⨯

LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis

Perseverence Savieri,
Lara Stas,
Kurt Barbé

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Published: June 11, 2025
https://doi.org/10.1371/journal.pone.0325834

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User interfaces
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Data visualization
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Time series analysis
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Oxygen
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