78 citations · 92 across the 15 of their papers we have counts for
Showing stat.APShow all
3 papers · 1 filter
stat.AP2020★ 78 cited
Estimating heterogeneous survival treatment effect in observational data using machine learning
Liangyuan Hu, Jiayi Ji, Fan Li
Methods for estimating heterogeneous treatment effect in observational data have largely focused on continuous or binary outcomes, and have been relatively less vetted with surviva…
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…
stat.AP2019★ 3 cited
Causal comparative effectiveness analysis of dynamic continuous-time treatment initiation rules with sparsely measured outcomes and death
Liangyuan Hu, Joseph W. Hogan
Evidence supporting the current World Health Organization recommendations of early antiretroviral therapy (ART) initiation for adolescents is inconclusive. We leverage a large obse…