Safe and Interpretable Estimation of Optimal Treatment Regimes

1 code implementation • 23 Oct 2023 • Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky

Our work operationalizes a safe and interpretable framework to identify optimal treatment regimes.

Variable Importance Matching for Causal Inference

1 code implementation • 23 Feb 2023 • Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

Our goal is to produce methods for observational causal inference that are auditable, easy to troubleshoot, accurate for treatment effect estimation, and scalable to high-dimensional data.

Causal Inference Feature Importance