Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models

We present generalized additive latent and mixed models (GALAMMs) for analysis of clustered data with responses and latent variables depending smoothly on observed variables. A scalable maximum likelihood estimation algorithm is proposed, utilizing the Laplace approximation, sparse matrix computatio...

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Detalles Bibliográficos
Autores principales: Sørensen, Øystein, Fjell, Anders M., Walhovd, Kristine B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Theory & Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188428/
https://www.ncbi.nlm.nih.gov/pubmed/36976415
http://dx.doi.org/10.1007/s11336-023-09910-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188428/
https://www.ncbi.nlm.nih.gov/pubmed/36976415
http://dx.doi.org/10.1007/s11336-023-09910-z

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