Stéphanie L. van der Pas

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 real-world data. The framework relaxes the unconfoundedness assumption on the real-world data by assumi…Read more