activity
20192022
most citedEstimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome

4 citations · 8 across the 5 of their papers we have counts for

collaborators

8 papers

stat.ME2022

A flexible approach for causal inference with multiple treatments and clustered survival outcomes

Liangyuan Hu, Jiayi Ji, Ronald D. Ennis +1

When drawing causal inferences about the effects of multiple treatments on clustered survival outcomes using observational data, we need to address implications of the multilevel d…

stat.ME2021

Variable selection with missing data in both covariates and outcomes: Imputation and machine learning

Liangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji

The missing data issue is ubiquitous in health studies. Variable selection in the presence of both missing covariates and outcomes is an important statistical research topic but ha…

stat.ME2020

A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data

Liangyuan Hu, Jungang Zou, Chenyang Gu +3

In the absence of a randomized experiment, a key assumption for drawing causal inference about treatment effects is the ignorable treatment assignment. Violations of the ignorabili…

stat.ME20201 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.ME20204 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.AP2019

Modeling the Causal Effect of Treatment Initiation Time on Survival: Application to HIV/TB Co-infection

Liangyuan Hu, Joseph W. Hogan, Ann W. Mwangi +1

The timing of antiretroviral therapy (ART) initiation for HIV and tuberculosis (TB) co-infected patients needs to be considered carefully. CD4 cell count can be used to guide decis…