Nina van Gerwen from Erasmus University - Statistical Intelligence: Machine Learning with Statistics for Longitudinal Data Analysis

par Nina van Gerwen

jeudi 26 nov. 2026, 13:00 → 14:00 Europe/Paris

amphi 8 (ISPED)

Speaker: Nina van Gerwen

Title: Statistical Intelligence: Machine Learning with Statistics for Longitudinal Data Analysis

Abstract: During my PhD, I have focused on different ways that statistics and machine learning can inspire one another. This has led to a total of three projects, each tailored to a specific longitudinal research setting/question. In my first project, I researched how ensemble learning can be used as an alternative to model selection procedures for the analysis of longitudinal and time-to-event data to combine landmarking with joint modeling. For the next project, I generalised mixed effects models to deep learning, trying to achieve the benefits of both statistics and machine learning. This led to designing a new architecture for hierarchical data analysis called the ‘Deep Generalised Mixed Model’. Lastly, I am currently working on a deep learning method inspired by the Deep Generalised Mixed Model and latent class mixed models to find categories within trajectories of high-frequency longitudinal data.

Calendar subscription link for the complete seminar series:
https://indico.math.cnrs.fr/category/711/events.ics

Program of the Biostatistics seminars:
https://indico.math.cnrs.fr/category/711/

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Former e-seminars on our YouTube channel (mostly in French): https://www.youtube.com/channel/UCURp-hEQL7k23UzGfqgEurA/videos

 

Biostatistics seminar series from the Department of Public Health from the University of Bordeaux and the Bordeaux Population Health UMR 1219 research center