8 citations · 10 across the 11 of their papers we have counts for
5 papers · 1 filter
On the Efficiency of Highly Stratified Experiments
Yuehao Bai, Jizhou Liu, Azeem M. Shaikh +1
This paper studies the use of highly stratified designs for the efficient estimation of a large class of treatment effect parameters that arise in the analysis of experiments. By a…
Inference for Two-stage Experiments under Covariate-Adaptive Randomization
Jizhou Liu
This paper studies inference in two-stage randomized experiments under covariate-adaptive randomization. In the initial stage of this experimental design, clusters (e.g., household…
Inference in Cluster Randomized Trials with Matched Pairs
Yuehao Bai, Jizhou Liu, Azeem M. Shaikh +1
This paper studies inference in cluster randomized trials where treatment status is determined according to a "matched pairs" design. Here, by a cluster randomized experiment, we m…
Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition
Yuehao Bai, Meng Hsuan Hsieh, Jizhou Liu +1
In this paper we revisit some common recommendations regarding the analysis of matched-pair and stratified experimental designs in the presence of attrition. Our main objective is…
Inference for Matched Tuples and Fully Blocked Factorial Designs
Yuehao Bai, Jizhou Liu, Max Tabord-Meehan
This paper studies inference in randomized controlled trials with multiple treatments, where treatment status is determined according to a "matched tuples" design. Here, by a match…