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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |