:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cui, Wenhai, Su, Wen, Yan, Xiaodong, Zeng, Donglin, Zhao, Xingqiu
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2504.19914
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
by: Cui, Wenhai, et al.
Published: (2026)

Optimal Transport Learning: Balancing Value Optimization and Fairness in Individualized Treatment Rules
by: Cui, Wenhai, et al.
Published: (2025)

Learning Optimal Distributionally Robust Individualized Treatment Rules Integrating Multi-Source Data
by: Cui, Wenhai, et al.
Published: (2026)

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
by: Bu, Qiushi, et al.
Published: (2025)

Efficient Estimation for Functional Accelerated Failure Time Model
by: Liu, Changyu, et al.
Published: (2024)

Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
by: Bu, Qiushi, et al.
Published: (2026)

Trajectory-Based Individualized Treatment Rules
by: Yao, Lanqiu, et al.
Published: (2024)

Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule
by: Xu, Qi, et al.
Published: (2023)

Flexible semiparametric modeling with application to Causal Inference
by: Ren, Kun, et al.
Published: (2026)

Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)

Safe Individualized Treatment Rules with Controllable Harm Rates
by: Wu, Peng, et al.
Published: (2025)

Guidance on Individualized Treatment Rule Estimation in High Dimensions
by: Boileau, Philippe, et al.
Published: (2023)

Evaluating Surrogates in Individualized Treatment Rules
by: Xu, Zeyu, et al.
Published: (2025)

Scalable and Distributed Individualized Treatment Rules for Massive Datasets
by: Qiao, Nan, et al.
Published: (2025)

Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection
by: Gao, Daiqi, et al.
Published: (2023)

Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
by: Liu, Mochuan, et al.
Published: (2022)

A General Theory of Outcome Weighted Learning for Individualized Treatment Rules
by: Wang, Zhu
Published: (2026)

Fair Regression under Demographic Parity: A Unified Framework
by: Feng, Yongzhen, et al.
Published: (2026)

Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study
by: Li, Xuqiao, et al.
Published: (2023)

Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
by: Oh, Eun Jeong, et al.
Published: (2025)

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
by: Li, Michael Lingzhi, et al.
Published: (2024)

Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
by: Wang, Xiaohan, et al.
Published: (2025)

Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)

Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026)

Prediction-Oriented Transfer Learning for Survival Analysis
by: Gu, Yu, et al.
Published: (2026)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
by: Du, Jiacong, et al.
Published: (2024)

Data fusion methods for the heterogeneity of treatment effect and confounding function
by: Yang, Shu, et al.
Published: (2020)

Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

A Unified Three-State Model Framework for Analysis of Treatment Crossover in Survival Trials
by: Zhao, Zile, et al.
Published: (2024)

Rank Intraclass Correlation for Clustered Data
by: Tu, Shengxin, et al.
Published: (2023)

A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients
by: Yang, Eileen, et al.
Published: (2025)

Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
by: Hruza, Johannes, et al.
Published: (2025)

Qini Curves for Multi-Armed Treatment Rules
by: Sverdrup, Erik, et al.
Published: (2023)

Model positive and unlabeled data with a generalized additive density ratio model
by: Sang, Peijun, et al.
Published: (2025)

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)