Dazheng Zhang

According to our database, Dazheng Zhang authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Small Agent Group is the Future of Digital Health.

Yuqiao Meng, Luoxi Tang, Dazheng Zhang, Rafael Brens, Elvys J. Romero, Nancy Guo, Safa Elkefi, Zhaohan Xi

CoRR, February, 2026

A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models.

Bingyu Zhang, Qiong Wu, Jenna Marie Reps, Lu Li, Jiayi Tong, Yiwen Lu, Dazheng Zhang, Juan Manuel Ramírez-Anguita, Jiang Bian, Milou T. Brand, Thomas Falconer, Miguel A. Mayer, Ross D. Williams, Yong Chen

J. Am. Medical Informatics Assoc., 2026

2025

Empowering Clinical Trial Design through AI: A Randomized Evaluation of PowerGPT.

Yiwen Lu, Lu Li, Dazheng Zhang, Xinyao Jian, Tingyin Wang, Siqi Chen, Yuqing Lei, Jiayi Tong, Zhaohan Xi, Haitao Chu, Chongliang Luo, Alexis Ogdie, Brian Athey, Alparslan Turan, Michael Abramoff, Joseph C. Cappelleri, Hua Xu, Yun Lu, Jesse A. Berlin, Daniel I. Sessler, David A. Asch, Xiaoqian Jiang, Yong Chen

CoRR, September, 2025

Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences.

Dazheng Zhang, Bingyu Zhang, Huiyuan Wang, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, Yong Chen

npj Digit. Medicine, 2025

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data.

Qiong Wu, Jenna Marie Reps, Lu Li, Bingyu Zhang, Yiwen Lu, Jiayi Tong, Dazheng Zhang, Thomas Lumley, Milou T. Brand, Mui Van Zandt, Thomas Falconer, Xing He, Yu Huang, Haoyang Li, Chao Yan, Guojun Tang, Andrew E. Williams, Fei Wang, Jiang Bian, Bradley A. Malin, George Hripcsak, Martijn J. Schuemie, Yun Lu, Steve Drew, Jiayu Zhou, David A. Asch, Yong Chen

npj Digit. Medicine, 2025

Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies.

Xinyao Jian, Dazheng Zhang, Zehao Yu, Hua Xu, Jiang Bian, Yonghui Wu, Jiayi Tong, Yong Chen

J. Biomed. Informatics, 2025

A communication-efficient federated learning algorithm to assess racial disparities in post-transplantation survival time.

Yudong Wang, Dazheng Zhang, Jiayi Tong, Xing He, Liang Li, Lichao Sun, Ashutosh M. Shukla, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2025

2024

One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites.

Dazheng Zhang, Jiayi Tong, Ronen Stein, Yiwen Lu, Naimin Jing, Yuchen Yang, Mary Regina Boland, Chongliang Luo, Robert N. Baldassano, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Biomed. Informatics, 2024

Learning competing risks across multiple hospitals: one-shot distributed algorithms.

Dazheng Zhang, Jiayi Tong, Naimin Jing, Yuchen Yang, Chongliang Luo, Yiwen Lu, Dimitri A. Christakis, Diana Güthe, Mady Hornig, Kelly J. Kelleher, Keith E. Morse, Colin M. Rogerson, Jasmin Divers, Raymond J. Carroll, Christopher B. Forrest, Yong Chen

J. Am. Medical Informatics Assoc., 2024

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.

Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen

J. Am. Medical Informatics Assoc., 2024

2023

Predicting the Risk of Alzheimer's Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach.

Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, Jiang Bian

Informatics, 2023