3 papers
stat.CO2026
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…
stat.ME2024
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…
stat.ME2023
A location-scale joint model for studying the link between the time-dependent subject-specific variability of blood pressure and competing events
Léonie Courcoul, Christophe Tzourio, Mark Woodward +2
Given the high incidence of cardio and cerebrovascular diseases (CVD), and its association with morbidity and mortality, its prevention is a major public health issue. A high level…