Yong Chen

发表

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks

J. Bian, Zhaoyi Chen, Chongliang Luo, 2022, J. Biomed. Informatics.

ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data

A. Naj, R. Duan, J. Bian, 2022, Scientific reports.

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites

Md Nazmul Islam, R. Duan, E. Lautenbach, 2022, npj Digital Medicine.

The association of prescription opioid use with suicide attempts: An analysis of statewide medical claims data

Nathaniel M Rickles, R. Aseltine, Chongliang Luo, 2022, PloS one.

Federated learning algorithms for generalized mixed-effects model (GLMM) on horizontally partitioned data from distributed sources

Xiaoqian Jiang, Jiayi Tong, N. Mohammed, 2021, BMC Medical Informatics and Decision Making.

Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites

Jason W. Moore, A. Ogdie, R. Duan, 2022, Scientific Reports.

Fresh vs. frozen embryo transfer: new approach to minimize the limitations of using national surveillance data for clinical research.

K. Barnhart, G. Satten, D. Kissin, 2022, Fertility and sterility.

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Md Nazmul Islam, Andrew E. Williams, D. Asch, 2022, Nature Communications.

Methodological challenges in spatial and contextual exposome-health studies

F. Laden, Xing He, Yi Zheng, 2022, Critical reviews in environmental science and technology.

Privacy-preserving harmonization via distributed ComBat

R. Shinohara, H. Shou, Chongliang Luo, 2021, NeuroImage.

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling

Md Nazmul Islam, D. Asch, M. Schuemie, 2021, medRxiv.

SCOR: A secure international informatics infrastructure to investigate COVID-19

Fabian Prasser, Hua Xu, Adam Wilcox, 2020, J. Am. Medical Informatics Assoc..

An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

C. Forrest, J. Shults, P. Ryan, 2020, Scientific Reports.

ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data

A. Naj, R. Duan, J. Bian, 2021, medRxiv.

Lossless Distributed Linear Mixed Model with Application to Integration of Heterogeneous Healthcare Data

M. J. Schuemie, R. Duan, Y. Chen, 2020, medRxiv.

An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Zhaoyi Chen, Chongliang Luo, M. Maltenfort, 2021, Scientific Reports.

Distributed Learning from Multi-Site Observational Health Data for Zero-Inflated Count Outcomes

C. Forrest, J. Shults, P. Ryan, 2020, medRxiv.

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

Xing He, Jiayi Tong, Chongliang Luo, 2024, J. Am. Medical Informatics Assoc..

A One-shot Federated Learning algorithm to quantify racial disparities in graft failure rates with kidney transplant using US registry data from 35,497 patients across 201 hospitals

Jiayi Tong, Chongliang Luo, M. Edmondson, 2022 .