Joint Bayesian models link longitudinal creatinine trajectories to time-to-event kidney disease risk in pediatric autoimmune patients and enable dynamic risk predictions based on observed data.
Random-effects models for longitudinal data.Biometrics, 38(4):963–974
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Bayesian Joint Modelling of Longitudinal Creatinine Trajectories in Children with Auto-Immune Disorders to Predict Paediatric Kidney Disease Risk in a Single Centre Study
Joint Bayesian models link longitudinal creatinine trajectories to time-to-event kidney disease risk in pediatric autoimmune patients and enable dynamic risk predictions based on observed data.