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math.ST2019★ 5 cited
Regression-adjusted average treatment effect estimates in stratified randomized experiments
Hanzhong Liu, Yuehan Yang
Researchers often use linear regression to analyse randomized experiments to improve treatment effect estimation by adjusting for imbalances of covariates in the treatment and cont…
math.ST2018★ 3 cited
Penalized regression adjusted causal effect estimates in high dimensional randomized experiments
Hanzhong Liu, Yuehan Yang
Regression adjustments are often considered by investigators to improve the estimation efficiency of causal effect in randomized experiments when there exists many pre-experiment c…
math.ST2015★ 2 cited
Model Selection Consistency of Lasso for Empirical Data
Yuehan Yang, Hu Yang
Large-scale empirical data, the sample size and the dimension are high, often exhibit various characteristics. For example, the noise term follows unknown distributions or the mode…