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stat.ME2025
Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
Jonas Esser, Mateus Maia, Andrew C. Parnell +4
In recent years, theoretical results and simulation evidence have shown Bayesian additive regression trees to be a highly-effective method for nonparametric regression. Motivated b…
stat.ME2024
Fusion of Tree-induced Regressions for Clinico-genomic Data
Jeroen M. Goedhart, Mark A. van de Wiel, Wessel N. van Wieringen +1
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. Fi…