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.
Asymptotic equivalence of bayes cross validation and widely applicable information criterion in singular learning theory.Journal of Machine Learning Research, 11:3571–3594, 2010
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.AP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.