Image de couverture de livre

Evaluating and Testing for Actionable Treatment Effect Heterogeneity

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ashouri, Mahsa, Henderson, Nicholas C.
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference
par: Ashouri, Mahsa, et autres
Publié: (2024)

Robust Updating of a Risk Prediction Model by Integrating External Ranking Information
par: Henderson, Nicholas C.
Publié: (2026)

Targeted Parameter Estimation for Robust Empirical Bayes Ranking
par: Henderson, Nicholas C., et autres
Publié: (2025)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
par: Sechidis, Konstantinos, et autres
Publié: (2025)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
par: Wuethrich, Leticia, et autres
Publié: (2026)

On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
par: Morzywolek, Pawel, et autres
Publié: (2023)

Heterogeneous Treatment Effects and Causal Mechanisms
par: Fu, Jiawei, et autres
Publié: (2024)

Assessing Heterogeneity of Treatment Effects
par: Kaji, Tetsuya, et autres
Publié: (2023)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
par: Shin, Heejun, et autres
Publié: (2024)

Adaptive Experiments Toward Learning Treatment Effect Heterogeneity
par: Wei, Waverly, et autres
Publié: (2023)

A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
par: Zhang, Cong, et autres
Publié: (2026)

Treatment Effect Heterogeneity in Regression Discontinuity Designs
par: Calonico, Sebastian, et autres
Publié: (2025)

Estimating Treatment Effects Under Bounded Heterogeneity
par: Kwon, Soonwoo, et autres
Publié: (2025)

Inference for Heterogeneous Treatment Effects with Efficient Instruments and Machine Learning
par: Scheidegger, Cyrill, et autres
Publié: (2025)

Propensity Patchwork Kriging for Scalable Inference on Heterogeneous Treatment Effects
par: Ogawa, Hajime, et autres
Publié: (2025)

Bayesian Causal Synthesis for Meta-Inference on Heterogeneous Treatment Effects
par: Sugasawa, Shonosuke, et autres
Publié: (2023)

LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
par: Wang, Meijia, et autres
Publié: (2024)

Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
par: Zhou, Lingxiao, et autres
Publié: (2024)

Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect
par: Li, Haodong, et autres
Publié: (2023)

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
par: Li, Changjun, et autres
Publié: (2025)

Assumption-Lean Differential Variance Inference for Heterogeneous Treatment Effect Detection
par: Boileau, Philippe A., et autres
Publié: (2025)

Extention of Bagging MARS with Group LASSO for Heterogeneous Treatment Effect Estimation
par: He, Guanwenqing, et autres
Publié: (2024)

Longitudinal Generalizations of the Average Treatment Effect on the Treated for Multi-valued and Continuous Treatments
par: Susmann, Herbert, et autres
Publié: (2024)

Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
par: Wibisono, Kevin Christian, et autres
Publié: (2025)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
par: Qiu, Zhixin, et autres
Publié: (2025)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
par: Liang, Zhongyuan, et autres
Publié: (2025)

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
par: Kacprzyk, Krzysztof, et autres
Publié: (2024)

Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
par: Kabata, Daijiro, et autres
Publié: (2025)

A Practical Guide to Instrumental Variables Methods with Heterogeneous Treatment Effects
par: Słoczyński, Tymon, et autres
Publié: (2026)

Reluctant Transfer Learning in Penalized Regressions for Individualized Treatment Rules under Effect Heterogeneity
par: Oh, Eun Jeong, et autres
Publié: (2025)

Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
par: Berk, Richard A., et autres
Publié: (2018)

Cumulative Treatment Effect Testing under Continuous Time Reinforcement Learning
par: Zhang, Jiuchen, et autres
Publié: (2026)

Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction
par: Schuessler, Maximilian, et autres
Publié: (2025)

Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
par: Yao, Dong, et autres
Publié: (2024)

Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
par: Persson, Joel, et autres
Publié: (2026)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
par: Goplerud, Max, et autres
Publié: (2022)

Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
par: Zhu, Jie, et autres
Publié: (2024)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
par: Bo, Na, et autres
Publié: (2024)

Outlier-Resistant Heterogeneous Treatment Effect Estimation in HDLSS Settings via GAT--CVAE Framework
par: Lee, Byeonghee, et autres
Publié: (2025)

Intra-Class Correlation Coefficient Ignorable Clustered Randomized Trials for Detecting Treatment Effect Heterogeneity
par: Yang, Chen, et autres
Publié: (2025)