6 papers
Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
Qendresa Selimi, Christiana Charalambous, Taban Baghfalaki +2
This study investigates the relationship between longitudinal serum creatinine measurements and the risk of adverse kidney outcomes in paediatric patients with auto-immune disorder…
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…
Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
Taban Baghfalaki, Mojtaba Ganjali
We propose a comprehensive Bayesian joint modeling framework for zero-inflated longitudinal count data and time-to-event outcomes, explicitly incorporating a cure fraction to accou…
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
Taban Baghfalaki, Mojtaba Ganjali, Rui Martins
The integration of longitudinal measurements and survival time in statistical modeling offers a powerful framework for capturing the interplay between these two essential outcomes,…
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…
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…