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., 2023) using data from the National Job Training Partnership Act.

翻译：本文详细介绍了如何使用R包grf（Athey等，2019；Tibshirani等，2023）中的causal_survival_forest函数（Cui等，2023），基于美国国家职业培训合作法案的数据，估计右删失时间-事件结局的条件平均治疗效果（CATEs）。