activity
20182022
most citedEstimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach

20 citations · 40 across the 11 of their papers we have counts for

collaborators

12 papers

stat.ME2022★ 1 cited

The Role of Placebo Samples in Observational Studies

Ting Ye, Shuxiao Chen, Bo Zhang

In an observational study, it is common to leverage known null effect to detect bias. One such strategy is to set aside a placebo sample -- a subset of data immune from the hypothe…

stat.ME2022

Efficient algorithms for building representative matched pairs with enhanced generalizability

Bo Zhang

Many recent efforts center on assessing the ability of real-world evidence (RWE) generated from non-randomized, observational data to produce results compatible with those from ran…

stat.ME2021★ 5 cited

Minimax Rates and Adaptivity in Combining Experimental and Observational Data

Shuxiao Chen, Bo Zhang, Ting Ye

Randomized controlled trials (RCTs) are the gold standard for evaluating the causal effect of a treatment; however, they often have limited sample sizes and sometimes poor generali…

stat.ME2021

Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies

Kan Chen, Siyu Heng, Qi Long +1

One central goal of design of observational studies is to embed non-experimental data into an approximate randomized controlled trial using statistical matching. Despite empirical…

stat.ME2021

Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable

Shuxiao Chen, Bo Zhang

Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected. In this work, we develo…

stat.AP2020★ 1 cited

Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship

Bo Zhang, Siyu Heng, Ting Ye +1

Social distancing is widely acknowledged as an effective public health policy combating the novel coronavirus. But extreme social distancing has costs and it is not clear how much…