*marks equal contributions; indicates I am a corresponding author.

Data Integration and Transportability

  1. Liu Y, Levis A, Normand S-L, and Han L (2024). Multi-Source Conformal Inference Under Distribution Shift. Proceedings of the 41st International Conference on Machine Learning (ICML), Proceedings of Machine Learning Research. [OpenReview][software][poster]

Randomized Clinical Trials

  1. Gao Y*, Liu Y*, and Matsouaka RA (2024). When does adjusting covariate under randomization help? A comparative study on current practices. Revision submitted.

Propensity Score Weighting

  1. Wang Y*, Liu Y*, and Yang S (2024). Rate doubly robust estimations for weighted average treatment effects. Revision submitted. [software]
  2. 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. [arXiv][slides][software]
  3. 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]

    Selected for Student Poster Award at ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop (2023), Student Poster Award at Georgia Statistics Day (2022), and Outstanding Master's Project Award (2022) from Duke Biostatistics and Bioinformatics.

  4. 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. [arXiv]

Selected Applications and Interdisciplinary Collaborations

  1. Liu J, Liu Y, Zhou Y, and Matsouaka RA (2024+). Extending Causal Interpretation to Racial Disparities in Healthcare Expenditure Using Generalized Propensity Score Weighting. Under review.