# Treatment heterogeneity with right-censored outcomes using grf

arXiv: https://arxiv.org/abs/2312.02482 · HTML: https://mlsanity.com/paper/2312.02482/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Dec 2023.

## Built on by (most cited first, 1 of 1)

- [CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma](https://mlsanity.com/paper/2505.06367/) (2025)

## Abstract (arXiv)

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.