Cover Image

Emulating Stepped-Wedge Cluster Randomized Trials to Evaluate Health Policies and Interventions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Haidong, Gonsalves, Gregg S., Li, Fan, Tong, Guanyu, Kennedy-Shaffer, Lee
Format:	Preprint
Published:	2026
Subjects:	Methodology Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Novel Methods for the Analysis of Stepped Wedge Cluster Randomized Trials
by: Kennedy-Shaffer, Lee, et al.
Published: (2019)

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

Inference in Cluster Randomized Trials with Matched Pairs
by: Bai, Yuehao, et al.
Published: (2022)

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

A Generalized Difference-in-Differences Estimator for Randomized Stepped-Wedge and Observational Staggered Adoption Settings
by: Kennedy-Shaffer, Lee
Published: (2024)

Individualized Policy Evaluation and Learning under Clustered Network Interference
by: Zhang, Yi, et al.
Published: (2023)

Policy Learning with Confidence
by: Chernozhukov, Victor, et al.
Published: (2025)

Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
by: Testa, Lorenzo, et al.
Published: (2025)

Randomization Inference with Sample Attrition
by: Li, Xinran, et al.
Published: (2025)

Extreme Quantile Treatment Effects under Endogeneity: Evaluating Policy Effects for the Most Vulnerable Individuals
by: Sasaki, Yuya, et al.
Published: (2024)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
by: Jiang, Liang, et al.
Published: (2023)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

Panel Coupled Matrix-Tensor Clustering Model with Applications to Asset Pricing
by: Cui, Liyuan, et al.
Published: (2025)

Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
by: Li, Zikai
Published: (2025)

Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach
by: Fan, Rui, et al.
Published: (2021)

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

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

Randomization Inference: Theory and Applications
by: Ritzwoller, David M., et al.
Published: (2024)

Nonparametric Regression under Cluster Sampling
by: Shimizu, Yuya
Published: (2024)

Inference in Regression Discontinuity Designs with Clustered Data
by: Noack, Claudia, et al.
Published: (2026)

Identifying Socially Disruptive Policies
by: Auerbach, Eric, et al.
Published: (2023)

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

Testing for Coefficient Randomness in Local-to-Unity Autoregressions
by: Nishi, Mikihito
Published: (2023)

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

Noise-Induced Randomization in Regression Discontinuity Designs
by: Eckles, Dean, et al.
Published: (2020)

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

Limit Theorems for Network Dependent Random Variables
by: Kojevnikov, Denis, et al.
Published: (2019)

Policy relevance of causal quantities in networks
by: Loomba, Sahil, et al.
Published: (2025)

On a new robust method of inference for general time series models
by: Wang, Zihan, et al.
Published: (2025)

On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
by: Wang, Hao, et al.
Published: (2025)

K-Means Panel Data Clustering in the Presence of Small Groups
by: Nishi, Mikihito
Published: (2025)

Randomization Inference For the Always-Reporter Average Treatment Effect
by: Chang, Haoge, et al.
Published: (2026)

Testing for Stationary or Persistent Coefficient Randomness in Predictive Regressions
by: Nishi, Mikihito
Published: (2023)

Heterogeneous Responses to Continuous Treatments: A Cluster-Based Causal Framework
by: Cerqua, Augusto, et al.
Published: (2024)

Robust Inference for Multiple Predictive Regressions with an Application on Bond Risk Premia
by: Liao, Xiaosai, et al.
Published: (2024)

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

Non-linear Triple Changes Estimator for Targeted Policies
by: Akbari, Sina, et al.
Published: (2024)

Tweedie's Formula and Score-Driven Updating
by: Hansen, Peter Reinhard, et al.
Published: (2026)

Exact Likelihood Inference and Robust Filtering for Gauss-Cauchy Convolution Models
by: Hansen, Peter Reinhard, et al.
Published: (2026)