Learning Optimal Distributionally Robust Individualized Treatment Rules
From MaRDI portal
Publication:4999141
DOI10.1080/01621459.2020.1796359zbMath1464.62467arXiv2006.15121OpenAlexW3043138146MaRDI QIDQ4999141
Yu Feng Liu, Weibin Mo, Zhengling Qi
Publication date: 6 July 2021
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.15121
Applications of statistics to biology and medical sciences; meta analysis (62P10) Causal inference from observational studies (62D20)
Related Items
Data-guided Treatment Recommendation with Feature Scores, Fairness-Oriented Learning for Optimal Individualized Treatment Rules, Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework, On Robustness of Individualized Decision Rules, A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets, Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimating treatment effect heterogeneity in randomized program evaluation
- External validity: from do-calculus to transportability across populations
- Predicting the efficacy of future training programs using past experiences at other locations
- Performance guarantees for individualized treatment rules
- Fast rates for support vector machines using Gaussian kernels
- Classifier technology and the illusion of progress
- Robustifying trial-derived optimal treatment rules for a target population
- A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization
- Methods in Comparative Effectiveness Research
- Robust Truncated Hinge Loss Support Vector Machines
- On ψ-Learning
- A general statistical framework for subgroup identification and comparative treatment scoring
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning
- A Robust Method for Estimating Optimal Treatment Regimes
- Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects
- Multicategory Outcome Weighted Margin-based Learning for Estimating Individualized Treatment Rules
- Multi-Armed Angle-Based Direct Learning for Estimating Optimal Individualized Treatment Rules With Various Outcomes
- Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
- Higher moment coherent risk measures