*indicates equal contribution; †indicates I am a corresponding author.
Adaptive Methods for Data Integration
- Liu Y, Levis A, Normand S-L, and Han L (2024). Multi-Source Conformal Inference Under Distribution Shift. International Conference on Machine Learning (ICML). [software][poster]
Advances in Propensity Score Methods
My paper of this section plays around the propensity score, a crucial tool in comparative effectiveness research for balacing covariate distributions and defining goalpost of inference. I have worked on (i) development of new methods when there is lack of positivity; (ii) practical evaluations of novel propensity score weighting methods; (iii) treatment effect estimation using semiparametric efficient and machine learning methods.
- Liu Y, Li H, Zhou Y, and Matsouaka RA (2024). Average treatment effect on the treated, under lack of positivity. Statistical Methods in Medical Research, accepted. [arXiv][slides][software]
- Matsouaka RA*, Liu Y*, and Zhou Y (2024). Overlap, matching, or entropy weights: what are we weighting for? Communications in Statistics - Simulation and Computation. [arXiv][poster]
- Matsouaka RA*, Liu Y*, and Zhou Y (2023). Variance estimation for the average treatment effects on the treated and on the controls. Statistical Methods in Medical Research, 32(2): 389-403. [arXiv]