Saved in:
| Main Authors: | Gutman, Rom, Sheiba, Shimon, Klein, Omer Noy, Bird, Naama Dekel, Gruber, Amit, Aronson, Doron, Caspi, Oren, Shalit, Uri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.11381 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
by: Porat, Bar Eini, et al.
Published: (2026)
by: Porat, Bar Eini, et al.
Published: (2026)
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
by: Klein, Omer Noy, et al.
Published: (2025)
by: Klein, Omer Noy, et al.
Published: (2025)
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)
by: Sisti, Anthony, et al.
Published: (2024)
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
Analysis of Linked Files: A Missing Data Perspective
by: Kamat, Gauri, et al.
Published: (2024)
by: Kamat, Gauri, et al.
Published: (2024)
Causal effects on non-terminal event time with application to antibiotic usage and future resistance
by: Zehavi, Tamir, et al.
Published: (2025)
by: Zehavi, Tamir, et al.
Published: (2025)
Bayesian Record Linkage with Variables in One File
by: Kamat, Gauri, et al.
Published: (2023)
by: Kamat, Gauri, et al.
Published: (2023)
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
by: Sisti, Anthony, et al.
Published: (2025)
by: Sisti, Anthony, et al.
Published: (2025)
Controlling the False Discovery Rate via Competition: is the +1 needed?
by: Rajchert, Andrew, et al.
Published: (2022)
by: Rajchert, Andrew, et al.
Published: (2022)
A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis
by: Minoccheri, Cristian, et al.
Published: (2026)
by: Minoccheri, Cristian, et al.
Published: (2026)
Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations
by: Yanagisawa, Hideyoshi, et al.
Published: (2023)
by: Yanagisawa, Hideyoshi, et al.
Published: (2023)
Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
by: Langevin, Raphaël
Published: (2026)
by: Langevin, Raphaël
Published: (2026)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
A state-space framework for causal detection of hippocampal ripple-replay events
by: Zeng, Sirui, et al.
Published: (2025)
by: Zeng, Sirui, et al.
Published: (2025)
Estimation of Heterogeneous Causal Mediation Effects in a Hypertension Treatment Trial
by: Zhao, Yi, et al.
Published: (2025)
by: Zhao, Yi, et al.
Published: (2025)
Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests
by: Sverdrup, Erik, et al.
Published: (2024)
by: Sverdrup, Erik, et al.
Published: (2024)
Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!
by: Gruber, Luis, et al.
Published: (2022)
by: Gruber, Luis, et al.
Published: (2022)
Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
by: Di Serio, Clelia, et al.
Published: (2025)
by: Di Serio, Clelia, et al.
Published: (2025)
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)
by: Das, Apu Chandra, et al.
Published: (2026)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)
by: Bo, Na, et al.
Published: (2024)
Preference-based Conditional Treatment Effects and Policy Learning
by: Parnas, Dovid, et al.
Published: (2026)
by: Parnas, Dovid, et al.
Published: (2026)
Subgroup Identification and Individualized Treatment Policies: A Tutorial on the Hybrid Two-Stage Workflow
by: Xi, Nan Miles, et al.
Published: (2025)
by: Xi, Nan Miles, et al.
Published: (2025)
Sample Size Selection under an Infill Asymptotic Domain
by: Natoli, Cory W., et al.
Published: (2024)
by: Natoli, Cory W., et al.
Published: (2024)
Using Causal Inference to Explore Government Policy Impact on Computer Usage
by: Zhu, Mingjia, et al.
Published: (2025)
by: Zhu, Mingjia, et al.
Published: (2025)
Individualized Treatment Effects in Advanced Prostate Cancer: A Causal-Survival Modeling Approach to Risk-Guided Therapy
by: Korley, J. T.
Published: (2025)
by: Korley, J. T.
Published: (2025)
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
by: Tran, Allen, et al.
Published: (2023)
by: Tran, Allen, et al.
Published: (2023)
Consistency Assessment of Regional Treatment Effect for Multi-Regional Clinical Trials in the Presence of Covariate Shift
by: Qing, Kunhai, et al.
Published: (2026)
by: Qing, Kunhai, et al.
Published: (2026)
WATCH: A Workflow to Assess Treatment Effect Heterogeneity in Drug Development for Clinical Trial Sponsors
by: Sechidis, Konstantinos, et al.
Published: (2024)
by: Sechidis, Konstantinos, et al.
Published: (2024)
Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
by: O'Gara, David, et al.
Published: (2024)
by: O'Gara, David, et al.
Published: (2024)
Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
by: Souto, Hugo Gobato, et al.
Published: (2024)
by: Souto, Hugo Gobato, et al.
Published: (2024)
A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications
by: Zhu, Jianan, et al.
Published: (2025)
by: Zhu, Jianan, et al.
Published: (2025)
Evaluating Gender Wage Inequality in Academia using Causal Inference Methods for Observational Data
by: Zhang, Zihan, et al.
Published: (2025)
by: Zhang, Zihan, et al.
Published: (2025)
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)
by: Dimitriou, Evangelos, et al.
Published: (2024)
A hierarchical modelling approach for Bayesian Causal Forests on longitudinal data: A Case Study in Multiple Sclerosis Clinical Trials
by: Prevot, Emma, et al.
Published: (2025)
by: Prevot, Emma, et al.
Published: (2025)
A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
by: Zhang, Cong, et al.
Published: (2026)
by: Zhang, Cong, et al.
Published: (2026)
A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
by: Komaki, Moka, et al.
Published: (2025)
by: Komaki, Moka, et al.
Published: (2025)
Capturing Aleatoric Uncertainty in Climate Models
by: Gruber, Cornelia, et al.
Published: (2026)
by: Gruber, Cornelia, et al.
Published: (2026)
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling
by: Viani, Alessandro, et al.
Published: (2024)
by: Viani, Alessandro, et al.
Published: (2024)
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments
by: Imai, Kosuke, et al.
Published: (2024)
by: Imai, Kosuke, et al.
Published: (2024)
Similar Items
-
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
by: Porat, Bar Eini, et al.
Published: (2026) -
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
by: Klein, Omer Noy, et al.
Published: (2025) -
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024) -
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025) -
Analysis of Linked Files: A Missing Data Perspective
by: Kamat, Gauri, et al.
Published: (2024)