Detecting influential subjects in intensive longitudinal data using mixed-effects location scale models

BACKGROUND: Collection of intensive longitudinal health outcomes allows joint modeling of their mean (location) and variability (scale). Focusing on the location of the outcome, measures to detect influential subjects in longitudinal data using standard mixed-effects regression models (MRMs) have be...

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Detalles Bibliográficos
Autores principales: Zhang, Xingruo, Hedeker, Donald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585916/
https://www.ncbi.nlm.nih.gov/pubmed/37853339
http://dx.doi.org/10.1186/s12874-023-02046-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585916/
https://www.ncbi.nlm.nih.gov/pubmed/37853339
http://dx.doi.org/10.1186/s12874-023-02046-9

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