1.1k citations · 1.1k across the 6 of their papers we have counts for
7 papers
Dynamic prediction of an event using multiple longitudinal markers: a model averaging approach
Reza Hashemi, Taban Baghfalaki, Viviane Philipps +1
Dynamic event prediction, using joint modeling of survival time and longitudinal variables, is extremely useful in personalized medicine. However, the estimation of joint models in…
Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints
Cécile Proust-Lima, Tiphaine Saulnier, Viviane Philipps +5
Neurodegenerative diseases are characterized by numerous markers of progression and clinical endpoints. For instance, Multiple System Atrophy (MSA), a rare neurodegenerative synucl…
Joint models for the longitudinal analysis of measurement scales in the presence of informative dropout
Tiphaine Saulnier, Viviane Philipps, Wassilios G Meissner +4
In health cohort studies, repeated measures of markers are often used to describe the natural history of a disease. Joint models allow to study their evolution by taking into accou…
Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model
Cécile Proust-Lima, Viviane Philipps, Bastien Perrot +2
Item Response Theory (IRT) models have received growing interest in health science for analyzing latent constructs such as depression, anxiety, quality of life, or cognitive functi…
Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg
Viviane Philipps, Boris P Hejblum, Mélanie Prague +2
Implementations in R of classical general-purpose algorithms for local optimization generally have two major limitations which cause difficulties in applications to complex problem…
A joint model for multiple dynamic processes and clinical endpoints: application to Alzheimer's disease
Cécile Proust-Lima, Viviane Philipps, Jean-François Dartigues
As other neurodegenerative diseases, Alzheimer's disease, the most frequent dementia in the elderly, is characterized by multiple progressive impairments in the brain structure and…
Estimation of extended mixed models using latent classes and latent processes: the R package lcmm
Cécile Proust-Lima, Viviane Philipps, Benoit Liquet
The R package lcmm provides a series of functions to estimate statistical models based on linear mixed model theory. It includes the estimation of mixed models and latent class mix…