2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.ME2020★ 2 cited
Two Robust Tools for Inference about Causal Effects with Invalid Instruments
Hyunseung Kang, Youjin Lee, T. Tony Cai +1
Instrumental variables have been widely used to estimate the causal effect of a treatment on an outcome. Existing confidence intervals for causal effects based on instrumental vari…
stat.ME2019
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
Siyu Heng, Hyunseung Kang, Dylan S. Small +1
In many observational studies, the interest is in the effect of treatment on bad, aberrant outcomes rather than the average outcome. For such settings, the traditional approach is…
stat.ME2018
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…