3 papers
stat.ME2021
Fast marginal likelihood estimation of penalties for group-adaptive elastic net
Mirrelijn M. van Nee, Tim van de Brug, Mark A. van de Wiel
Nowadays, clinical research routinely uses omics data, such as gene expression, for predicting clinical outcomes or selecting markers. Additionally, so-called co-data are often ava…
stat.ME2018
Estimating Bayesian Optimal Treatment Regimes for Dichotomous Outcomes using Observational Data
Thomas Klausch, Peter van de Ven, Tim van de Brug +2
Optimal treatment regimes (OTR) are individualised treatment assignment strategies that identify a medical treatment as optimal given all background information available on the in…
math-ph2018
Spin systems from loop soups
Tim van de Brug, Federico Camia, Marcin Lis
We study spin systems defined by the winding of a random walk loop soup. For a particular choice of loop soup intensity, we show that the corresponding spin system is reflection-po…