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Treatment heterogeneity with right-censored outcomes using grf

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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.

fields

cs.LG 1

years

2025 1

verdicts

CONDITIONAL 1

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