4 citations
- Centre de recherche en Epidémiologie et Santé des PopulationsFR3 papers
- CEA CESTAFR1 paper
- Centre d'études et de recherche en informatique et communicationsFR1 paper
- Cooperativa de Ensino Superior Politécnico e UniversitárioPT1 paper
- HIA du Val-de-Grâce à ParisFR1 paper
- Hôpital Robert-DebréFR1 paper
- KU LeuvenBE1 paper
- NeuroDiderotFR1 paper
- Schneider Electric (France)FR1 paper
- Universidad Braulio CarrilloCR1 paper
- Université Paris-SaclayFR1 paper
- University of British ColumbiaCA1 paper
6 papers
Parallel gradient boosting for flexible estimation of conditional distributions
Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1
Boosting is one of the most successful learning techniques for standard classification and regression tasks. Its extension to multi-output prediction problems has found an increasi…
Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study
Anne C M Thiébaut, Aris Perperouglou, Mohammed Sedki +6
This article describes the design of a neutral comparison study in the context of empirical studies where the interest is in learning the functional relationship between a continuo…
Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
Léa Orsini, Emmanuel Lesaffre, Guosheng Yin +3
The difference in restricted mean survival time (RMST) is a clinically meaningful measure to quantify treatment effect in randomized controlled trials, especially when the proporti…
Parameter estimation of hidden Markov models: comparison of EM and quasi-Newton methods with a new hybrid algorithm
Sidonie Foulon, Thérèse Truong, Anne-Louise Leutenegger +1
Hidden Markov Models (HMM) model a sequence of observations that are dependent on a hidden (or latent) state that follow a Markov chain. These models are widely used in diverse fie…
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
Rémy Chapelle, Bruno Falissard
Introduction: The amount of data generated by original research is growing exponentially. Publicly releasing them is recommended to comply with the Open Science principles. However…
Simulating recurrent events that mimic actual data: a review of the literature with emphasis on event-dependence
Juliette Pénichoux, Thierry Moreau, Aurélien Latouche
We conduct a review to assess how the simulation of repeated or recurrent events are planned. For such multivariate time-to-events, it is well established that the underlying mecha…