4 papers
Conditional bootstrap for non-linear mixed effects models
Sofia Kaisaridi, Moreno Ursino, Emmanuelle Comets
Background and Objective: Uncertainty in non-linear mixed effect models is often assessed using the Fisher information matrix to derive the standard errors of estimation. The boots…
Development and performance of npd for the evaluation of models with ordinal data
Marc Cerou, Marylore Chenel, Emmanuelle Comets
Introduction: Normalised prediction distribution errors (npde) are used to graphically and statistically evaluate continuous responses in non-linear mixed effect models. Here, our…
Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
Marc Cerou, Jimmy Mullaert, Marc Lavielle +3
Introduction: Joint models are increasingly used in clinical trials. An important part of model building is to properly assess the descriptive and predictive ability of these model…
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…