2 citations · 2 across the 1 of their papers we have counts for
4 papers
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…
Protocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19
Bo Zhang, Ting Ye, Siyu Heng +2
The novel coronavirus disease (COVID-19) is a highly contagious respiratory disease that was first detected in Wuhan, China in December 2019, and has since spread around the globe,…
Selecting and ranking individualized treatment rules with unmeasured confounding
Bo Zhang, Jordan Weiss, Dylan S Small +1
It is common to compare individualized treatment rules based on the value function, which is the expected potential outcome under the treatment rule. Although the value function is…
A calibrated sensitivity analysis for matched observational studies with application to the effect of second-hand smoke exposure on blood lead levels in U.S. children
Bo Zhang, Dylan Small
Matched observational studies are commonly used to study treatment effects in non-randomized data. After matching for observed confounders, there could remain bias from unobserved…