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10/01/2022
Tyranny-of-the-minority regression adjustment in randomized experiments
Regression adjustment is widely used for the analysis of randomized expe...
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09/26/2022
Rerandomization and covariate adjustment in split-plot designs
The split-plot design arises from agricultural sciences with experimenta...
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11/19/2021
Model-assisted complier average treatment effect estimates in randomized experiments with non-compliance and a binary outcome
In randomized experiments, the actual treatments received by some experi...
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09/23/2021
Blocking, rerandomization, and regression adjustment in randomized experiments with high-dimensional covariates
Blocking, a special case of rerandomization, is routinely implemented in...
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03/24/2021
Pair-switching rerandomization
Rerandomization discards assignments with covariates unbalanced in the t...
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03/06/2021
Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2^K factorial experiments
Stratified factorial experiments are widely used in industrial engineeri...
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11/19/2020
A general theory of regression adjustment for covariate-adaptive randomization: OLS, Lasso, and beyond
We consider the problem of estimating and inferring treatment effects in...
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11/10/2020
Rerandomization in stratified randomized experiments
Stratification and rerandomization are two well-known methods used in ra...
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09/20/2020
Confidence intervals for parameters in high-dimensional sparse vector autoregression
Vector autoregression (VAR) models are widely used to analyze the interr...
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09/04/2020
Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective
Linear regression is arguably the most fundamental statistical model; ho...
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08/05/2019
Regression-adjusted average treatment effect estimates in stratified and sequentially randomized experiments
Stratified and sequentially randomized experiments are widely used in fi...
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10/25/2018
Heterogeneous Treatment Effect Estimation through Deep Learning
Estimating heterogeneous treatment effect is an important task in causal...
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09/24/2018