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Bibliographic Details
Main Authors:	Wu, Peng, Mao, Xiaojie
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2504.20470
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Identification and Estimation of Joint Potential Outcome Distributions from a Single Study
by: Shahn, Zach, et al.
Published: (2025)

Synthetic Potential Outcomes and Causal Mixture Identifiability
by: Mazaheri, Bijan, et al.
Published: (2024)

Joint Models with Multiple Markers and Multiple Time-to-event Outcomes Using Variational Approximations
by: Christoffersen, Benjamin, et al.
Published: (2025)

Actively Learning Joint Contours of Multiple Computer Experiments
by: Prim, Shih-Ni, et al.
Published: (2025)

On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
by: Kallus, Nathan, et al.
Published: (2020)

Fast Algorithms for Exact Confidence Intervals in Randomized Experiments with Binary Outcomes
by: Zhang, Peng
Published: (2026)

Contextual Linear Optimization with Partial Feedback
by: Hu, Yichun, et al.
Published: (2024)

On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
by: Rao, Anup B., et al.
Published: (2024)

Quantifying Individual Risk for Binary Outcomes
by: Wu, Peng, et al.
Published: (2024)

Identifying Subgroup and Context Effects in Conjoint Experiments
by: Wang, Steven, et al.
Published: (2025)

Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
by: Zivich, Paul N, et al.
Published: (2025)

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

Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022)

The Front-door Criterion in the Potential Outcome Framework
by: Chen, Zexuan
Published: (2024)

Probabilities of Causation for Continuous Outcomes: Bounds and Identification
by: Chaoge, Jile, et al.
Published: (2026)

Identifying Conditions Favouring Multiplicative Heterogeneity Models in Network Meta-Analysis
by: Xu, Xinlei, et al.
Published: (2026)

Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
by: Fuhr, Jonathan, et al.
Published: (2024)

Using Multiple Outcomes to Improve the Synthetic Control Method
by: Sun, Liyang, et al.
Published: (2023)

Identifying Interventional Joint Distributions via Extended Bridge Functions
by: Schott, Constantin
Published: (2026)

Outcome-Assisted Multiple Imputation of Missing Treatments
by: Feldman, Joseph, et al.
Published: (2025)

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
by: Rustand, Denis, et al.
Published: (2024)

Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes
by: Wang, Zi, et al.
Published: (2025)

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
by: Prim, Shih-Ni, et al.
Published: (2025)

Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
by: Guha, Subharup, et al.
Published: (2023)

Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics
by: Shang, Longwen, et al.
Published: (2025)

Using Multiple Outcomes to Adjust Standard Errors for Spatial Correlation
by: DellaVigna, Stefano, et al.
Published: (2025)

CARhy: Comprehensive Analyses of Circadian Rhythms in Transcriptomic Experiments with Multiple Conditions
by: Huang, Weiyi, et al.
Published: (2026)

Identifiability of the instrumental variable model with the treatment and outcome missing not at random
by: Zuo, Shuozhi, et al.
Published: (2024)

A Comparison of Joint Species Distribution Models for Percent Cover Data
by: Korhonen, Pekka, et al.
Published: (2024)

A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
by: Baghfalaki, Taban, et al.
Published: (2024)

Never Too LATE: A Fully Stochastic Update to the Potential Outcome Framework
by: Lin, Hanti
Published: (2026)

A New Integrative Learning Framework for Integrating Multiple Secondary Outcomes into Primary Outcome Analysis: A Case Study on Liver Health
by: Deng, Daxuan, et al.
Published: (2025)

Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data
by: Meeker, William Q., et al.
Published: (2022)

An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions
by: Raim, Andrew M., et al.
Published: (2016)

A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2026)

Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment
by: Wang, Chang, et al.
Published: (2024)

Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
by: Gu, Yuqi
Published: (2022)

Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
by: Wang, Yunfeng, et al.
Published: (2026)

Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
by: Zhou, Xiaodan, et al.
Published: (2026)

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