Treatment heterogeneity with right-censored outcomes using grf

Abstract

This article walks through how to estimate conditional average treatment effects (CATEs) with right-censored time-to-event outcomes using the function causal_survival_forest (Cui et al., 2023) in the R package grf (Athey et al., 2019, Tibshirani et al., 2024) using data from the National Job Training Partnership Act.

arXiv commentSoftware review article prepared for January 2024 ASA Lifetime Data Science newsletter