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Treatment heterogeneity with right-censored outcomes using grf

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arxiv 2312.02482 v3 pith:L4ZK5QB6 submitted 2023-12-05 stat.CO stat.APstat.ME

Erik Sverdrup , Stefan Wager This is my paper · ORCID
classification stat.COstat.APstat.ME
keywords outcomesright-censoredtreatmentarticleatheyaveragecatescausal
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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.

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Cited by 1 Pith paper

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

    cs.LG 2025-05 conditional novelty 4.0 of 10

    CAST fits quadratic and spline curves through ten horizon-specific causal forest estimates, reporting a chemotherapy survival benefit in 2,651 head and neck cancer patients that peaks between 50 and 65 months and then...

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