Yuehan Yang

activity

20142023

most citedRegression-adjusted average treatment effect estimates in stratified randomized experiments

5 citations · 17 across the 13 of their papers we have counts for

collaborators

Showing 2021Show all

2 papers · 1 filter

stat.ME2021★ 3 cited

Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments

Ke Zhu, Hanzhong Liu, Yuehan Yang

Blocking, a special case of rerandomization, is routinely implemented in the design stage of randomized experiments to balance the baseline covariates. This study proposes a regres…

stat.ME2021

Randomization-based joint central limit theorem and efficient covariate adjustment in stratified $2^{K}$ factorial experiments

Hanzhong Liu, Jiyang Ren, Yuehan Yang

Randomized block factorial experiments are widely used in industrial engineering, clinical trials, and social science. Researchers often use a linear model and analysis of covarian…

Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments

Randomization-based joint central limit theorem and efficient covariate adjustment in stratified 2K factorial experiments

Randomization-based joint central limit theorem and efficient covariate adjustment in stratified $2^{K}$ factorial experiments