8 citations · 10 across the 11 of their papers we have counts for
12 papers
Randomization Tests in Randomized Saturation Designs
Jizhou Liu, Azeem M. Shaikh, Liang Zhong
Randomized saturation designs are widely used to study spillover effects in clustered populations. In these designs, clusters are first assigned to treatment saturation levels, and…
Randomization Tests in Switchback Experiments
Jizhou Liu, Liang Zhong
Switchback experiments assign an experimental unit, such as a market or a platform, to treatment or control over successive blocks of time. Inference can be challenging because the…
Auto-Doubly Robust Estimation of Causal Effects on a Network
Jizhou Liu, Dake Zhang, Eric J. Tchetgen Tchetgen
This paper develops new methods for causal inference in observational studies on a single large network of interconnected units, addressing two key challenges: long-range dependenc…
Randomization Inference in Two-Sided Market Experiments
Jizhou Liu, Azeem M. Shaikh, Panos Toulis
Randomized experiments are increasingly employed in two-sided markets, such as buyer--seller platforms, to evaluate the effects of marketplace interventions. These experiments must…
Proximal Causal Inference for Synthetic Control with Surrogates
Jizhou Liu, Eric J. Tchetgen Tchetgen, Carlos Varjão
The synthetic control method (SCM) has become a popular tool for estimating causal effects in policy evaluation, where a single treated unit is observed, and a heterogeneous set of…
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…
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
Zhaonan Qu, Ruoxuan Xiong, Jizhou Liu +1
In many observational studies in social science and medicine, subjects or units are connected, and one unit's treatment and attributes may affect another's treatment and outcome, v…
Performance Comparison on Parallel CPU and GPU Algorithms for Unified Gas-Kinetic Scheme
Jizhou Liu, Fang Q. Hu, Xiaodong Li
Parallel algorithms on CPU and GPU are implemented for the Unified Gas-Kinetic Scheme and their performances are investigated and compared by a two dimensional channel flow case. T…