3 papers
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
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…
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…