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stat.AP2024
Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests
Erik Sverdrup, Maria Petukhova, Stefan Wager
Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects. This paper gives an accessible tutorial demonstrating the use of the causal fores…
stat.ME2024
Qini Curves for Multi-Armed Treatment Rules
Erik Sverdrup, Han Wu, Susan Athey +1
Qini curves have emerged as an attractive and popular approach for evaluating the benefit of data-driven targeting rules for treatment allocation. We propose a generalization of th…