4 papers
Modified treatment policies that depend on the natural history of treatment
Iván DÃaz, Nicholas T. Williams, PaweÅ MorzywoÅek +1
Longitudinal modified treatment policies (LMTP) are a class of interventions that allow the definition, identification, and estimation of causal effects in general settings, such a…
Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
Pawel Morzywolek, Peter B. Gilbert, Alex Luedtke
We provide an inferential framework to assess variable importance for heterogeneous treatment effects. This assessment is especially useful in high-risk domains such as medicine, w…
The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
Nan van Geloven, Ruth H Keogh, Wouter van Amsterdam +12
Clinicians increasingly rely on prediction models to guide treatment choices. Most prediction models, however, are developed using observational data that include some patients who…
On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
Pawel Morzywolek, Johan Decruyenaere, Stijn Vansteelandt
Motivated by applications in personalized medicine and individualized policymaking, there is a growing interest in techniques for quantifying treatment effect heterogeneity in term…