7 citations · 17 across the 5 of their papers we have counts for
6 papers
Fast selection of nonlinear mixed effect models using penalized likelihood
Edouard Ollier
Nonlinear Mixed effects models are hidden variables models that are widely used in many fields such as pharmacometrics. In such models, the distribution characteristics of hidden v…
Penalized Poisson model for network meta-analysis of individual patient time-to-event data
Edouard Ollier, Pierre Blanchard, Gwénaël Le Teuff +1
Network meta-analysis (NMA) allows the combination of direct and indirect evidence from a set of randomized clinical trials. Performing NMA using individual patient data (IPD) is c…
Stochastic Proximal Gradient Algorithms for Penalized Mixed Models
Gersende Fort, Edouard Ollier, Adeline Samson
Motivated by penalized likelihood maximization in complex models, we study optimization problems where neither the function to optimize nor its gradient have an explicit expression…
Regression modeling on stratified data with the lasso
Edouard Ollier, Vivian Viallon
We consider the estimation of regression models on strata defined using a categorical covariate, in order to identify interactions between this categorical covariate and the other…
A SAEM Algorithm for Fused Lasso Penalized Non Linear Mixed Effect Models: Application to Group Comparison in Pharmacokinetic
Edouard Ollier, Adeline Samson, Xavier Delavenne +1
Non linear mixed effect models are classical tools to analyze non linear longitudinal data in many fields such as population Pharmacokinetic. Groups of observations are usually com…
Joint estimation of related regression models with simple -norm penalties
Edouard Ollier, Vivian Viallon
We propose a new approach, along with refinements, based on penalties and aimed at jointly estimating several related regression models. Its main interest is that it can be r…