3 papers
stat.ME2026
Meta-Analysis of High-Dimensional Surrogate Markers
Arthur Hughes, Rodolphe Thiébaut, Layla Parast +1
When direct measurement of a clinically relevant primary endpoint in a clinical trial is infeasible, a surrogate endpoint may be used instead to infer treatment effects. Trial-leve…
stat.ME2026
Scalable Dirichlet Process Mixture Models with Unknown Concentration and Adaptive Covariance for High-Dimensional Clustering Applied to Leukemia Transcriptomics
Annesh Pal, Aguirre Mimoun, Rodolphe Thiébaut +1
We propose a novel method that performs adaptive clustering with DPMM using collapsed VI, while incorporating weakly-informative priors for DP concentration parameter alpha and bas…
stat.ME2026
Variational autoencoder for inference of nonlinear mixed effect models based on ordinary differential equations
Zhe Li, Mélanie Prague, Rodolphe Thiébaut +1
We propose a variational autoencoder (VAE) approach for parameter estimation in nonlinear mixed-effects models based on ordinary differential equations (NLME-ODEs) using longitudin…