Model-assisted analyses of cluster-randomized experiments

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Model-assisted analyses of cluster-randomized experiments

9 April 2021

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Papers citing "Model-assisted analyses of cluster-randomized experiments"

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Title
Some theoretical foundations for the design and analysis of randomized experiments Lei Shi Xinran Li 51 2 0 14 Jun 2024
Inference for Synthetic Controls via Refined Placebo Tests Lihua Lei Timothy Sudijono 74 4 0 13 Jan 2024
A decorrelation method for general regression adjustment in randomized experiments Fangzhou Su Wenlong Mou Peng Ding Martin J. Wainwright 66 1 0 16 Nov 2023
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation Jieru Shi Zhanghua Wu Walter Dempsey CML 24 3 0 29 Jun 2023
Rerandomization and covariate adjustment in split-plot designs Wenqi Shi Anqi Zhao Hanzhong Liu 64 2 0 26 Sep 2022
Design-based theory for cluster rerandomization Xin Lu Tianle Liu Hanzhong Liu Peng Ding 64 14 0 06 Jul 2022
Efficiency and Robustness of Rosenbaum's Regression (Un)-Adjusted Rank-based Estimator in Randomized Experiments Aditya Ghosh Nabarun Deb B. Karmakar B. Sen 45 0 0 30 Nov 2021
To adjust or not to adjust? Estimating the average treatment effect in randomized experiments with missing covariates Anqi Zhao Peng Ding 38 28 0 31 Jul 2021
Reconciling design-based and model-based causal inferences for split-plot experiments Anqi Zhao Peng Ding CML 57 13 0 03 May 2021
Covariate-adjusted Fisher randomization tests for the average treatment effect Anqi Zhao Peng Ding 61 43 0 27 Oct 2020