5 papers
The R package LSJM for fitting location-scale joint models for a longitudinal marker and complex survival data
Léonie Courcoul, Hélène Jacqmin-Gadda, Antoine Barbieri
The LSJM R package provides a series of functions to estimate models based on location-scale linear mixed model and location-scale joint model theory. For longitudinal data, it inc…
Asymmetric Laplace distribution regression model for fitting heterogeneous longitudinal response
Antoine Barbieri, Angelo Alcaraz, Mouna Abed +2
The systematic collection of longitudinal data is very common in practice, making mixed models widely used. Most developments around these models focus on modeling the mean traject…
Joint model for interval-censored semi-competing events and longitudinal data with subject-specific within and between visits variabilities
Léonie Courcoul, Catherine Helmer, Antoine Barbieri +1
Dementia currently affects about 50 million people worldwide, and this number is rising. Since there is still no cure, the primary focus remains on preventing modifiable risk facto…
Joint Modeling of Longitudinal Measurements and Time-to-event Outcomes Using BUGS
Taban Baghfalaki, Mojtaba Ganjali, Antoine Barbieri +2
The objective of this paper is to provide an introduction to the principles of Bayesian joint modeling of longitudinal measurements and time-to-event outcomes, as well as model imp…
An efficient joint model for high dimensional longitudinal and survival data via generic association features
Van Tuan Nguyen, Adeline Fermanian, Agathe Guilloux +4
This paper introduces a prognostic method called FLASH that addresses the problem of joint modelling of longitudinal data and censored durations when a large number of both longitu…