Mining for equitable health: Assessing the impact of missing data in electronic health records. - Emily J. Getzen; Lyle H. Ungar; Danielle L. Mowery; Xiaoqian Jiang; Qi Long (J. Biomed. Informatics, 2023)

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? - Amelia L. M. Tan; Emily J. Getzen; Meghan R. Hutch; Zachary H. Strasser; Alba Gutiérrez-Sacristán; Trang T. Le; Arianna Dagliati; Michele Morris; David A. Hanauer; Bertrand Moal; Clara-Lea Bonzel; William Yuan; et al. (J. Biomed. Informatics, 2023)

SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data. - Zongyu Dai; Emily J. Getzen; Qi Long (AISTATS, 2024)

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. - Yinjun Wu; Mayank Keoliya; Kan Chen; Neelay Velingker; Ziyang Li; Emily J. Getzen; Qi Long; Mayur Naik; Ravi B. Parikh; Eric Wong 001 (ICML, 2024)

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. - Jiancong Xiao; Ziniu Li; Xingyu Xie; Emily J. Getzen; Cong Fang 001; Qi Long; Weijie J. Su (CoRR, 2024)

An Overview of Large Language Models for Statisticians. - Wenlong Ji; Weizhe Yuan; Emily J. Getzen; Kyunghyun Cho; Michael I. Jordan; Song Mei; Jason Aaron Edward Weston; Weijie J. Su; Jing Xu; Linjun Zhang (CoRR, 2025)