Estimating heterogeneous treatment effects versus building individualized treatment rules: connection and disconnection
DOI10.1016/J.SPL.2023.109854zbMath1524.62172arXiv2210.01342MaRDI QIDQ6170514
Publication date: 12 July 2023
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.01342
mean squared errormisclassification errorheterogeneous treatment effectsindividualized treatment rules
Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Cites Work
- BART: Bayesian additive regression trees
- Performance guarantees for individualized treatment rules
- A note on margin-based loss functions in classification
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- Data-guided Treatment Recommendation with Feature Scores
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