2 papers
stat.ME2026
Bayesian fusion forests for heterogeneous treatment effects on survival from randomised and real-world data
Tijn Jacobs, Stéphanie L. van der Pas, Wessel N. van Wieringen
We develop the Bayesian fusion forest, a nonparametric framework to estimate heterogeneous treatment effects on survival outcomes by combining a randomised controlled trial and rea…
stat.ME2026
ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
Matteo Amestoy, Mark A. van de Wiel, Wessel N. van Wieringen
ProfileGLMM is an R package integrating Generalised Linear Mixed Models (GLMMs) as the outcome model for Bayesian profile regression. This statistical framework simultaneously i) e…