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Bibliographic Details
Main Author:	Choi, David
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2410.13142
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Price Experimentation and Interference
by: Johari, Ramesh, et al.
Published: (2023)

Unconditional Randomization Tests for Interference
by: Zhong, Liang
Published: (2024)

Multiple Randomization Designs: Estimation and Inference with Interference
by: Masoero, Lorenzo, et al.
Published: (2024)

Experimental Design under Network Interference
by: Viviano, Davide
Published: (2020)

Cluster-Randomized Trials with Cross-Cluster Interference
by: Leung, Michael P.
Published: (2023)

When Does Interference Matter? Decision-Making in Platform Experiments
by: Johari, Ramesh, et al.
Published: (2024)

Causal Message Passing for Experiments with Unknown and General Network Interference
by: Shirani, Sadegh, et al.
Published: (2023)

Selective Randomization Inference for Adaptive Experiments
by: Freidling, Tobias, et al.
Published: (2024)

Randomization Tests in Switchback Experiments
by: Liu, Jizhou, et al.
Published: (2026)

Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)

Analysis of Broken Randomized Experiments by Principal Stratification
by: Liu, Qinqing, et al.
Published: (2024)

Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
by: Guo, Wenxuan, et al.
Published: (2025)

Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)

Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026)

Randomization Inference in Two-Sided Market Experiments
by: Liu, Jizhou, et al.
Published: (2025)

Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)

Seller-Side Experiments under Interference Induced by Feedback Loops in Two-Sided Platforms
by: Zhu, Zhihua, et al.
Published: (2024)

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
by: Azriel, David, et al.
Published: (2022)

Designing Randomized Experiments to Predict Unit-Specific Treatment Effects
by: Tipton, Elizabeth, et al.
Published: (2023)

Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)

Global Average Treatment Effects for Individualized Randomization Experiments with Aggregate Data
by: Yu, Shuguang, et al.
Published: (2026)

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

Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
by: Wang, Maggie, et al.
Published: (2024)

Efficient Randomized Experiments Using Foundation Models
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)

Estimating the prevalance of indirect effects and other spillovers
by: Choi, David
Published: (2023)

Model-Agnostic Bounds for Augmented Inverse Probability Weighted Estimators' Wald-Confidence Interval Coverage in Randomized Controlled Trials
by: Qiu, Hongxiang
Published: (2025)

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
by: Chen, Kevin L., et al.
Published: (2024)

Inference for Cluster Randomized Experiments with Non-ignorable Cluster Sizes
by: Bugni, Federico, et al.
Published: (2022)

Inference for Two-stage Experiments under Covariate-Adaptive Randomization
by: Liu, Jizhou
Published: (2023)

Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
by: Gao, Jiacan, et al.
Published: (2026)

Randomization Restrictions: Their Impact on Type I Error When Experimenting with Finite Populations
by: Chipman, Jonathan J., et al.
Published: (2025)

Regression Discontinuity Designs Under Interference
by: Torrione, Elena Dal, et al.
Published: (2024)

Causal Inference Under Network Interference
by: Bhadra, Subhankar, et al.
Published: (2025)

Difference-in-Differences Under Network Interference
by: Sun, Kuan, et al.
Published: (2025)

Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025)

Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
by: Lee, Kenneth M., et al.
Published: (2026)

Leveraging External Data for Testing Experimental Therapies with Biomarker Interactions in Randomized Clinical Trials
by: Ren, Boyu, et al.
Published: (2025)

Nonparametric Causal Survival Analysis with Clustered Interference
by: Lee, Chanhwa, et al.
Published: (2024)

Spatial Interference Detection in Treatment Effect Model
by: Zhang, Wei, et al.
Published: (2024)

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