{"total":20,"rows":[{"id":"2106.01939","title":"Causal Effect Inference for Structured Treatments","created":"2021-06-03","cited_by_count":39,"area":null},{"id":"2205.14714","title":"Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects","created":"2022-05-29","cited_by_count":10,"area":null},{"id":"2110.05225","title":"$\\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap","created":"2021-10-11","cited_by_count":8,"area":null},{"id":"2102.06573","title":"Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation","created":"2021-02-12","cited_by_count":7,"area":null},{"id":"2207.09139","title":"Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression","created":"2022-07-19","cited_by_count":4,"area":null},{"id":"2206.10261","title":"Interpretable Deep Causal Learning for Moderation Effects","created":"2022-06-21","cited_by_count":1,"area":null},{"id":"2211.11119","title":"Counterfactual Learning with Multioutput Deep Kernels","created":"2022-11-20","cited_by_count":1,"area":null},{"id":"2303.04874","title":"Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment","created":"2023-03-08","cited_by_count":1,"area":null},{"id":"2402.02306","title":"A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding","created":"2024-02-04","cited_by_count":1,"area":null},{"id":"2505.01995","title":"Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks","created":"2025-05-04","cited_by_count":1,"area":null},{"id":"2507.22004","title":"Horseshoe Forests for High-Dimensional Causal Survival Analysis","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2510.16419","title":"A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators","created":"2025-10-18","cited_by_count":1,"area":null},{"id":"2602.11118","title":"A Doubly Robust Machine Learning Approach for Disentangling Treatment Effect Heterogeneity with Functional Outcomes","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2212.13145","title":"Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions","created":"2022-12-26","cited_by_count":0,"area":null},{"id":"2311.09137","title":"Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury","created":"2023-11-15","cited_by_count":0,"area":null},{"id":"2411.01498","title":"Educational Effects in Mathematics: Conditional Average Treatment Effect depending on the Number of Treatments","created":"2024-11-03","cited_by_count":0,"area":null},{"id":"2411.03021","title":"Testing Generalizability in Causal Inference","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2504.15386","title":"Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners","created":"2025-04-21","cited_by_count":0,"area":null},{"id":"2504.19527","title":"Identification and Estimation of Long-Term Treatment Effects with Monotone Missing","created":"2025-04-28","cited_by_count":0,"area":null},{"id":"2608.06288","title":"Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data","created":"2026-08-06","cited_by_count":0,"area":null}],"next_cursor":null}