no code implementations • 4 Feb 2024 • Xinyuan Chen, Liangyuan Hu, Fan Li
To enhance the traditional parametric g-formula approach, we developed a more adaptable Bayesian g-formula estimator.
1 code implementation • 6 Apr 2021 • Liangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji
We investigate a general variable selection approach when both the covariates and outcomes can be missing at random and have general missing data patterns.
no code implementations • 18 Aug 2020 • Liangyuan Hu, Chenyang Gu
The preponderance of large-scale healthcare databases provide abundant opportunities for comparative effectiveness research.
1 code implementation • 17 Aug 2020 • 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 survival outcomes.