93 citations · 134 across the 5 of their papers we have counts for
5 papers
Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations
Xinkun Nie, Guido Imbens, Stefan Wager
The ability to generalize experimental results from randomized control trials (RCTs) across locations is crucial for informing policy decisions in targeted regions. Such generaliza…
Nonparametric Heterogeneous Treatment Effect Estimation in Repeated Cross Sectional Designs
Xinkun Nie, Chen Lu, Stefan Wager
Identifying heterogeneity in a population's response to a health or policy intervention is crucial for evaluating and informing policy decisions. We propose a novel heterogeneous t…
Learning When-to-Treat Policies
Xinkun Nie, Emma Brunskill, Stefan Wager
Many applied decision-making problems have a dynamic component: The policymaker needs not only to choose whom to treat, but also when to start which treatment. For example, a medic…
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stefan Wager
Flexible estimation of heterogeneous treatment effects lies at the heart of many statistical challenges, such as personalized medicine and optimal resource allocation. In this pape…
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor +1
From scientific experiments to online A/B testing, the previously observed data often affects how future experiments are performed, which in turn affects which data will be collect…