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20182026
most citedSemiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference

8 citations · 10 across the 11 of their papers we have counts for

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stat.ME2026

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…

stat.ME2026

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…

stat.ME2025

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…

stat.ME2025

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…

stat.ME2023

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…

stat.ME2021★ 8 cited

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…