Evaluating the performance of Bayesian and frequentist approaches for longitudinal modeling: application to Alzheimer’s disease

Linear mixed effects (LME) modelling under both frequentist and Bayesian frameworks can be used to study longitudinal trajectories. We studied the performance of both frameworks on different dataset configurations using hippocampal volumes from longitudinal MRI data across groups—healthy controls (H...

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Detalles Bibliográficos
Autores principales: Pérez-Millan, Agnès, Contador, José, Tudela, Raúl, Niñerola-Baizán, Aida, Setoain, Xavier, Lladó, Albert, Sánchez-Valle, Raquel, Sala-Llonch, Roser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402558/
https://www.ncbi.nlm.nih.gov/pubmed/36002550
http://dx.doi.org/10.1038/s41598-022-18129-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402558/
https://www.ncbi.nlm.nih.gov/pubmed/36002550
http://dx.doi.org/10.1038/s41598-022-18129-4

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