4 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Extending the saemix package for R to fit non Gaussian outcomes
Emmanuelle Comets, Maud Delattre, Belhal Karimi
Background and Objectives: Longitudinal data are increasingly collected in clinical trials to provide information on treatment action and disease evolution. The trajectory of conti…
Inference in Gaussian state-space models with mixed effects for multiple epidemic dynamics
Romain Narci, Maud Delattre, Catherine Larédo +1
The estimation from available data of parameters governing epidemics is a major challenge. In addition to usual issues (data often incomplete and noisy), epidemics of the same natu…
Estimating Fisher Information Matrix in Latent Variable Models based on the Score Function
Maud Delattre, Estelle Kuhn
The Fisher information matrix (FIM) is a key quantity in statistics as it is required for example for evaluating asymptotic precisions of parameter estimates, for computing test st…
An iterative algorithm for joint covariate and random effect selection in mixed effects models
Maud Delattre, Marie-Anne Poursat
We consider joint selection of fixed and random effects in general mixed-effects models. The interpretation of estimated mixed-effects models is challenging since changing the stru…