mlsanityData to 14 Oct 2026

Treatment heterogeneity with right-censored outcomes using grf

arXiv 2312.02482 ↗First posted 5 Dec 2023stat.CO stat.AP stat.MEcited by 1

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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.

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

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  1. 2025CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinomacited by 0