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View article: Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring
Temporal Glycemic Patterns in Type 1 and Type 2 Diabetes: Insights From Extended Continuous Glucose Monitoring Open
Background: Achieving optimal glycemic control for persons with diabetes remains difficult. Real-world continuous glucose monitoring (CGM) data can illuminate previously underrecognized glycemic fluctuations. We aimed to characterize gluco…
View article: Développement de nouvelles méthodes statistiques pour l'analyse de données longitudinales multiblocs et tensorielles
Développement de nouvelles méthodes statistiques pour l'analyse de données longitudinales multiblocs et tensorielles Open
Medical researchers have been confronted with increasingly complex data over the past decades. Indeed, data is now often observed on different occasions over time to help track the evolution of biological processes that can provide medical…
View article: Latent Functional PARAFAC for modeling multidimensional longitudinal data
Latent Functional PARAFAC for modeling multidimensional longitudinal data Open
In numerous settings, it is increasingly common to deal with longitudinal data organized as high-dimensional multi-dimensional arrays, also known as tensors. Within this framework, the time-continuous property of longitudinal data often im…
View article: Functional Generalized Canonical Correlation Analysis for studying multiple longitudinal variables
Functional Generalized Canonical Correlation Analysis for studying multiple longitudinal variables Open
In this paper, we introduce Functional Generalized Canonical Correlation Analysis (FGCCA), a new framework for exploring associations between multiple random processes observed jointly. The framework is based on the multiblock Regularized …
View article: Décomposition PARAFAC pour données longitudinales
Décomposition PARAFAC pour données longitudinales Open