Targeting Relative Risk Heterogeneity with Causal Forests

1 code implementation • 26 Sep 2023 • Vik Shirvaikar, Chris Holmes

Treatment effect heterogeneity (TEH), or variability in treatment effect for different subgroups within a population, is of significant interest in clinical trial analysis.

Rethinking recidivism through a causal lens

1 code implementation • 19 Nov 2020 • Vik Shirvaikar, Choudur Lakshminarayan

Predictive modeling of criminal recidivism, or whether people will re-offend in the future, has a long and contentious history.

BIG-bench Machine Learning Causal Inference +1