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stat.ME2025
A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
Taban Baghfalaki, Reza Hashemi, Christophe Tzourio +2
In many clinical and epidemiological studies, collecting longitudinal measurements together with time-to-event outcomes is essential. Accurately estimating the association between…
stat.ME2024
A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
Taban Baghfalaki, Reza Hashemi, Catherine Helmer +1
Collecting multiple longitudinal measurements and time-to-event outcomes is a common practice in clinical and epidemiological studies, often focusing on exploring associations betw…
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…