1 citations · 1 across the 6 of their papers we have counts for
6 papers
Fisher's Randomization Test for Causality with General Types of Treatments
Zhen Zhong
We extend Fisher's randomization test (FRT) to test conditional independence between observed outcomes and treatments given covariates in both randomized experiments and observatio…
A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments
Zhen Zhong, Per Johansson, Junni L. Zhang
In a given randomized experiment, individuals are often volunteers and can differ in important ways from a population of interest. It is thus of interest to focus on the sample at…
Conditionally Affinely Invariant Rerandomization and its Admissible Complete Class
Zhen Zhong, Donald B. Rubin
Rerandomization utilizes modern computing ability to improve covariate balance while adhering to the randomization principle originally advocated by RA Fisher. Affinely invariant r…
Inference of Sample Complier Average Causal Effects in Completely Randomized Experiments
Zhen Zhong, Per Johansson, Junni L. Zhang
In randomized experiments with non-compliance scholars have argued that the complier average causal effect (CACE) ought to be the main causal estimand. The literature on inference…
Inference of Sample Complier Average Causal Effects under Experiments with Completely Randomized Design and Computer Assisted Balance-Improving Designs
Zhen Zhong, Per Johansson, Junni L. Zhang
Non-compliance is common in real world experiments. We focus on inference about the sample complier average causal effect, that is, the average treatment effect for experimental un…
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access
Zhen Zhong, Ribhu Sengupta, Kamran Paynabar +1
At the time of this article, COVID-19 has been transmitted to more than 42 million people and resulted in more than 673,000 deaths across the United States. Throughout this pandemi…