3 papers
stat.OT2026
leaspy: LEArning Spatiotemporal Patterns in PYthon
Juliette Ortholand, Sofia Kaisaridi, Nicolas Gensollen +14
Longitudinal data are fundamental across scientific disciplines for modeling how complex systems evolve over time. A core challenge in these settings is handling temporal misalignm…
stat.ME2025
A joint spatiotemporal model for multiple longitudinal markers and competing events
Juliette Ortholand, Stanley Durrleman, Sophie Tezenas du Montcel
Non-terminal events can represent a meaningful change in a patient's life. Thus, better understanding and predicting their occurrence can bring valuable information to individuals.…
stat.ME2024
Joint model with latent disease age: overcoming the need for reference time
Juliette Ortholand, Nicolas Gensollen, Stanley Durrleman +1
Introduction: Heterogeneity of the progression of neurodegenerative diseases is one of the main challenges faced in developing effective therapies. With the increasing number of la…