4 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.ME2020★ 1 cited
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
Liangyuan Hu, Chenyang Gu
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research. Evidence necessary to making informed treatment decisio…
stat.ME2020★ 4 cited
Estimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome
Liangyuan Hu, Chenyang Gu, Michael Lopez +2
There is a dearth of robust methods to estimate the causal effects of multiple treatments when the outcome is binary. This paper uses two unique sets of simulations to propose and…
stat.ME2019
The Estimation of Causal Effects of Multiple Treatments in Observational Studies Using Bayesian Additive Regression Trees
Chenyang Gu, Michael J. Lopez, Liangyuan Hu
There is currently a dearth of appropriate methods to estimate the causal effects of multiple treatments when the outcome is binary. For such settings, we propose the use of nonpar…