13 citations · 16 across the 5 of their papers we have counts for
6 papers
In silico clinical trials in drug development: a systematic review
Bohua Chen, Lucia Chantal Schneider, Christian Röver +15
In the context of clinical research, computational models have received increasing attention over the past decades. In this systematic review, we aimed to provide an overview of th…
An efficient joint model for high dimensional longitudinal and survival data via generic association features
Van Tuan Nguyen, Adeline Fermanian, Agathe Guilloux +4
This paper introduces a prognostic method called FLASH that addresses the problem of joint modelling of longitudinal data and censored durations when a large number of both longitu…
Learning the Dynamics of Sparsely Observed Interacting Systems
Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot +1
We address the problem of learning the dynamics of an unknown non-parametric system linking a target and a feature time series. The feature time series is measured on a sparse and…
Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework
Simon Bussy, Raphaël Veil, Vincent Looten +5
Background: Choosing the most performing method in terms of outcome prediction or variables selection is a recurring problem in prognosis studies, leading to many publications on m…
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
Simon Bussy, Mokhtar Z. Alaya, Anne-Sophie Jannot +1
We introduce the binacox, a prognostic method to deal with the problem of detecting multiple cut-points per features in a multivariate setting where a large number of continuous fe…
C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Simon Bussy, Agathe Guilloux, Stéphane Gaïffas +1
We introduce a mixture model for censored durations (C-mix), and develop maximum likelihood inference for the joint estimation of the time distributions and latent regression param…