Rui Duan

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All published works

Action	Title	Year	Authors
+	Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects	2025	Larry Han Jue Hou Kelly Cho Rui Duan Tianxi Cai
+	Unsupervised Ensemble Learning for Efficient Integration of Pre-trained Polygenic Risk Scores	2025	Chenyin Gao Justin D. Tubbs Yi Han Min Guo Sijia Li E. Ma Dailin Luo Jordan W. Smoller Susan J. Lee Rui Duan
+ PDF Chat	LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation	2024	Sean McGrath Cenhao Zhu Min Guo Rui Duan
+ PDF Chat	OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data	2024	Yiwen Lu Jiayi Tong Yuqing Lei Alex J. Sutton Haitao Chu Lisa D. Levine Thomas Lumley David A. Asch Rui Duan Christopher H. Schmid
+	Distributed proportional likelihood ratio model with application to data integration across clinical sites	2024	Chongliang Luo Rui Duan Mackenzie Edmondson Jiasheng Shi Mitchell Maltenfort Jeffrey S. Morris Christopher B. Forrest Rebecca A. Hubbard Yong Chen
+	Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models	2024	Rui Duan Zhe Qu Lei Ding Yao Liu Zhuo Lu
+ PDF Chat	Targeting underrepresented populations in precision medicine: A federated transfer learning approach	2023	Sai Li Tianxi Cai Rui Duan
+	Testing the missing at random assumption in generalized linear models in the presence of instrumental variables	2023	Rui Duan C Jason Liang Pamela A. Shaw Cheng Yong Tang Yong Chen
+ PDF Chat	A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data	2023	Zhiyu Yan Kori S. Zachrison Lee H. Schwamm Juan Estrada Rui Duan
+	Multi-Task Learning with Summary Statistics	2023	P.R. Knight Rui Duan
+	Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models	2023	Rui Duan Zhe Qu Lei Ding Yao Liu Zhuo Lu
+	Risk prediction: Methods, Challenges, and Opportunities	2022	Ruowang Li Rui Duan Lifang He Jason H. Moore
+	SurvMaximin: Robust federated approach to transporting survival risk prediction models	2022	Xuan Wang Harrison G. Zhang Xin Xiong Chuan Hong Griffin M. Weber Gabriel A. Brat Clara-Lea Bonzel Yuan Luo Rui Duan Nathan Palmer
+ PDF Chat	Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites	2022	Xiaokang Liu Rui Duan Chongliang Luo Alexis Ogdie Jason H. Moore Henry R. Kranzler Jiang Bian Yong Chen
+ PDF Chat	Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites	2022	Jiayi Tong Chongliang Luo Md. Nazmul Islam Natalie E. Sheils John Buresh Mackenzie Edmondson Peter A. Merkel Ebbing Lautenbach Rui Duan Yong Chen
+	Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure	2022	Chongliang Luo Arielle Marks‐Anglin Rui Duan Lifeng Lin Chuan Hong Haitao Chu Yong Chen
+ PDF Chat	ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data	2022	Chongliang Luo Rui Duan Adam C. Naj Henry R. Kranzler Jiang Bian Yong Chen
+ PDF Chat	Fed-GLMM: A Privacy-Preserving and Computation-Efficient Federated Algorithm for Generalized Linear Mixed Models to Analyze Correlated Electronic Health Records Data	2022	Zhiyu Yan Kori S. Zachrison Lee H. Schwamm Juan Estrada Rui Duan
+ PDF Chat	SurvMaximin: Robust Federated Approach to Transporting Survival Risk Prediction Models	2022	Xuan Wang Harrison G. Zhang Xin Xiong Chuan Hong Griffin M. Weber Gabriel A. Brat Clara-Lea Bonzel Yuan Luo Rui Duan Nathan Palmer
+	SODA: Site Object Detection dAtaset for Deep Learning in Construction	2022	Rui Duan Hui Deng Mao Tian Yichuan Deng Jiarui Lin
+	Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception	2022	Rui Duan Zhe Qu Shangqing Zhao Lei Ding Yao Liu Zhuo Lü
+	Robust angle-based transfer learning in high dimensions	2022	Tian Gu Yi Han Rui Duan
+	Generalized Federated Learning via Sharpness Aware Minimization	2022	Zhe Qu Xingyu Li Rui Duan Yao Liu Bo Tang Zhuo Lü
+ PDF Chat	Context-Aware Online Client Selection for Hierarchical Federated Learning	2021	Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lü Yao Liu
+ PDF Chat	Predictive P-score for treatment ranking in Bayesian network meta-analysis	2021	Kristine J. Rosenberger Rui Duan Yong Chen Lifeng Lin
+ PDF Chat	An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes	2021	Mackenzie Edmondson Chongliang Luo Rui Duan Mitchell Maltenfort Zhaoyi Chen Kenneth W. Locke Justine Shults Jiang Bian Patrick Ryan Christopher B. Forrest
+ PDF Chat	Heterogeneity-aware and communication-efficient distributed statistical inference	2021	Rui Duan Yang Ning Yong Chen
+	On the global identifiability of logistic regression models with misclassified outcomes	2021	Rui Duan Yang Ning Jiasheng Shi Raymond J. Carroll Tianxi Cai Yong Chen
+	Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects	2021	Larry Han Jue Hou Kelly Cho Rui Duan Tianxi Cai
+	Context-Aware Online Client Selection for Hierarchical Federated Learning	2021	Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lü Yao Liu
+	An Efficient and Accurate Distributed Learning Algorithm for Modeling Multi-Site Zero- Inflated Count Outcomes	2020	Mackenzie Edmondson Chongliang Luo Rui Duan Mitchell Maltenfort Zhaoyi Chen Kenneth W. Locke Justine Shults Jiang Bian Patrick Ryan Christopher B. Forrest
+ PDF Chat	PALM: Patient-centered Treatment Ranking via Large-scale Multivariate Network Meta-analysis	2020	Rui Duan Jiayi Tong Lifeng Lin Lisa D. Levine Mary D. Sammel Joel Stoddard Tianjing Li Christopher H. Schmid Haitao Chu Yong Chen
+ PDF Chat	Lossless Distributed Linear Mixed Model with Application to Integration of Heterogeneous Healthcare Data	2020	Chongliang Luo Md. Nazmul Islam Natalie E. Sheils Jenna Reps John Buresh Rui Duan Jiayi Tong Mackenzie Edmondson Martijn J. Schumie Yong Chen
+	An efficient distributed algorithm with application to COVID-19 data from heterogeneous clinical sites	2020	Jiayi Tong Chongliang Luo Md. Nazmul Islam Natalie E. Sheils John Buresh Mackenzie Edmondson Peter A. Merkel Ebbing Lautenbach Rui Duan Yong Chen
+ PDF Chat	Accounting for small-study effects using a bivariate trim and fill meta-analysis procedure	2020	Chongliang Luo Arielle Marks‐Anglin Rui Duan Lifeng Lin Chuan Hong Haitao Chu Yong Chen
+ PDF Chat	Missing at Random or Not: A Semiparametric Testing Approach	2020	Rui Duan Chengcai Liang Pamela Shaw Cheng Yong Tang Yong Chen
+	Missing at Random or Not: A Semiparametric Testing Approach	2020	Rui Duan Chengcai Liang Pamela Shaw Cheng Yong Tang Yong Chen
+	Testing for publication bias in meta-analysis under Copas selection model	2020	Rui Duan Jin Piao Arielle Marks‐Anglin Jiayi Tong Lifeng Lin Haitao Chu Jing Ning Yong Chen
+	Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.	2020	Jiayi Tong Zhaoyi Chen Rui Duan Wei‐Hsuan Lo‐Ciganic Tianchen Lyu Cui Tao Peter A. Merkel Henry R. Kranzler Jiang Bian Yong Chen
+	Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions	2020	Ruowang Li Jiayi Tong Rui Duan Yong Chen Jason H. Moore
+	A fast score test for generalized mixture models	2019	Rui Duan Yang Ning Shuang Wang Bruce G. Lindsay Raymond J. Carroll Yong Chen
+	Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data	2019	Jiayi Tong Rui Duan Ruowang Li Martijn J. Scheuemie Jason H. Moore Yong Chen
+ PDF Chat	Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm	2019	Rui Duan Mary Regina Boland Zixuan Liu Yue Liu Howard H. Chang Hua Xu Haitao Chu Christopher H. Schmid Christopher B. Forrest John H. Holmes
+ PDF Chat	Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach	2019	Rui Duan Ming Cao Yang Ning Mingfu Zhu Bin Zhang Aidan McDermott Haitao Chu Xiao‐Hua Zhou Jason H. Moore Joseph G. Ibrahim
+	Comparing drug safety of hepatitis C therapies using post-market data	2019	Jing Huang Xinyuan Zhang Jiayi Tong Jingcheng Du Rui Duan Liu Yang Jason H. Moore Cui Tao Yong Chen
+	Heterogeneity-aware and communication-efficient distributed statistical inference	2019	Rui Duan Yang Ning Yong Chen
+	Comparing adverse effects of Hepatitis C drugs using FAERS data	2018	Jing Huang Xinyuan Zhang Jiayi Tong Jingcheng Du Rui Duan Liu Yang Jason H. Moore Yong Chen Cui Tao
+ PDF Chat	PIE: A prior knowledge guided integrated likelihood estimation method for bias reduction in association studies using electronic health records data	2017	Jing Huang Rui Duan Rebecca A. Hubbard Yonghui Wu Jason H. Moore Hua Xu Yong Chen
+ PDF Chat	Post-marketing Drug Safety Evaluation Using Data Mining Based on FAERS	2017	Rui Duan Xinyuan Zhang Jingcheng Du Jing Huang Cui Tao Yong Chen
+	Comparing Different Adverse Effects Among Multiple Drugs Using FAERS Data.	2017	Jing Huang Xinyuan Zhang Jingcheng Du Rui Duan Liu Yang Jason H. Moore Yong Chen Cui Tao

Common Coauthors

Coauthor	Papers Together
Yong Chen	28
Jason H. Moore	12
Jiayi Tong	11
Chongliang Luo	10
Haitao Chu	7
Mackenzie Edmondson	6
Jiang Bian	5
Cui Tao	5
Jing Huang	5
Lifeng Lin	5
Yang Ning	5
Tianxi Cai	5
Yao Liu	4
Chuan Hong	4
Kelly Cho	4
Zhuo Lü	4
Jingcheng Du	4
Christopher B. Forrest	4
Cheng Yong Tang	3
Arielle Marks‐Anglin	3
John H. Holmes	3
Ruowang Li	3
Md. Nazmul Islam	3
Christopher H. Schmid	3
Liu Yang	3
Zhaoyi Chen	3
Mitchell Maltenfort	3
Natalie E. Sheils	3
Henry R. Kranzler	3
Zhe Qu	3
Lei Ding	3
John Buresh	3
Larry Han	2
Andrea Prunotto	2
Kee Yuan Ngiam	2
Antoine Neuraz	2
Andrew M. South	2
Pablo Serrano Balazote	2
Riccardo Bellazzi	2
Emily Schriver	2
Pamela Shaw	2
Harrison G. Zhang	2
Shyam Visweswaran	2
Hossein Estiri	2
Zhe Qu	2
Zijian Guo	2
David A. Hanauer	2
Alberto Malovini	2
Jie Xu	2
Justine Shults	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Grid Binary LOgistic REgression (GLORE): building shared models without sharing data	2012	Yuan Wu Xiaoqian Jiang Jihoon Kim Lucila Ohno‐Machado	12
+ PDF Chat	Communication-Efficient Distributed Statistical Inference	2018	Michael I. Jordan Jason D. Lee Yun Yang	11
+ PDF Chat	Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm	2019	Rui Duan Mary Regina Boland Zixuan Liu Yue Liu Howard H. Chang Hua Xu Haitao Chu Christopher H. Schmid Christopher B. Forrest John H. Holmes	11
+ PDF Chat	WebDISCO: a web service for distributed cox model learning without patient-level data sharing	2015	Chia-Lun Lu Shuang Wang Zhanglong Ji Yuan Wu Li Xiong Xiaoqian Jiang Lucila Ohno‐Machado	11
+ PDF Chat	Heterogeneity-aware and communication-efficient distributed statistical inference	2021	Rui Duan Yang Ning Yong Chen	7
+ PDF Chat	Characterizing treatment pathways at scale using the OHDSI network	2016	George Hripcsak Patrick Ryan Jon Duke Nigam H. Shah Rae Woong Park Vojtech Huser Marc A. Suchard Martijn J. Schuemie Frank DeFalco Adler Perotte	7
+	Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data	2021	Tianxi Cai Molei Liu Xia Yin	6
+ PDF Chat	pSCANNER: patient-centered Scalable National Network for Effectiveness Research	2014	Lucila Ohno‐Machado Zia Agha Douglas S. Bell Lisa Dahm Michele E. Day JN Doctor Davera Gabriel Maninder Kahlon Katherine Kim Michael Hogarth	5
+ PDF Chat	Statistical inference in massive data sets	2012	Runze Li Dennis K. J. Lin Bing Li	4
+	A proportional likelihood ratio model	2011	Xiaodong Luo Wei‐Yann Tsai	4
+ PDF Chat	Graphical Tools for Network Meta-Analysis in STATA	2013	Anna Chaimani Julian P. T. Higgins Dimitris Mavridis Panagiota Spyridonos Georgia Salanti	4
+ PDF Chat	Regression analysis of longitudinal data with irregular and informative observation times	2015	Yong Chen Jing Ning Chunyan Cai	4
+ PDF Chat	Distributed testing and estimation under sparse high dimensional models	2018	Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu	4
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	4
+ PDF Chat	Multivariate meta‐analysis: Potential and promise	2011	Dan Jackson Richard D. Riley Ian R. White	4
+	Communication-efficient sparse regression	2017	Jason D. Lee Qiang Liu Yuekai Sun Jonathan Taylor	3
+	Hypothesis testing when a nuisance parameter is present only under the alternative	1987	Robert B. Davies	3
+	Phase IV of Drug Development	2010	Viraj Suvarna	3
+	Spatiotemporal hurdle models for zero-inflated count data: Exploring trends in emergency department visits	2014	Brian Neelon Howard H. Chang Qiang Ling Nicole S Hastings	3
+	Extended Mantel-Haenszel Estimating Procedure for Multivariate Logistic Regression Models	1987	Kung‐Yee Liang	3
+	Hypothesis Testing in a Mixture Case-Control Model	2010	Jing Qin Kung‐Yee Liang	3
+ PDF Chat	ODACH: a one-shot distributed algorithm for Cox model with heterogeneous multi-center data	2022	Chongliang Luo Rui Duan Adam C. Naj Henry R. Kranzler Jiang Bian Yong Chen	3
+	Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data	2019	Jiayi Tong Rui Duan Ruowang Li Martijn J. Scheuemie Jason H. Moore Yong Chen	3
+	A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis	2000	Sue Duval Richard L. Tweedie	3
+	A fast divide-and-conquer sparse Cox regression	2019	Yan Wang Chuan Hong Nathan Palmer Qian Di Joel Schwartz Isaac S. Kohane Tianxi Cai	3
+	dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling	2022	Chongliang Luo Md. Nazmul Islam Natalie E. Sheils John Buresh Martijn J. Schuemie Jalpa A. Doshi Rachel M. Werner David A. Asch Yong Chen	3
+	Communication-efficient Distributed Sparse Linear Discriminant Analysis	2016	Lu Tian Quanquan Gu	3
+ PDF Chat	A curated and standardized adverse drug event resource to accelerate drug safety research	2016	Juan M. Banda Lee Evans R. Vanguri Nicholas P. Tatonetti Patrick Ryan Nigam H. Shah	3
+ PDF Chat	Consistent Estimates Based on Partially Consistent Observations	1948	Jerzy Neyman Elizabeth L. Scott	3
+ PDF Chat	Bias in meta-analysis detected by a simple, graphical test	1997	Matthias Egger George Davey Smith Martin Schneider C. Minder	3
+	Moment-type estimators for the proportional likelihood ratio model with longitudinal data	2014	Xiaodong Luo Wei‐Yann Tsai	3
+	Effect of Ignoring Heterogeneity in Hazards Regression	2004	Hong‐Dar Isaac Wu	3
+	A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data	2014	Xueying Chen Minge Xie	3
+	Distributed Inference for Linear Support Vector Machine	2018	Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu	3
+	Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations	1997	James J. Heckman	2
+ PDF Chat	Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study	2009	Santiago G. Moreno Alex J. Sutton A. E. Ades T. D. Stanley Keith R. Abrams Jaime Peters Nicola J. Cooper	2
+	Indirect and mixed‐treatment comparison, network, or multiple‐treatments meta‐analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool	2012	Georgia Salanti	2
+ PDF Chat	The U.S. Food and Drug Administration's Mini‐Sentinel program: status and direction	2012	Richard Platt Ryan M. Carnahan Jeffrey S. Brown Elizabeth A. Chrischilles Lesley H. Curtis Sean Hennessy Jennifer C. Nelson Judith A. Racoosin Melissa A. Robb Sebastian Schneeweiß	2
+ PDF Chat	Regression Analysis Under Non-standard Situations: A Pairwise Pseudolikelihood Approach	2000	Kung‐Yee Liang Jing Qin	2
+ PDF Chat	Global identifiability of linear structural equation models	2011	Mathias Drton Rina Foygel Seth Sullivant	2
+	Operating Characteristics of a Rank Correlation Test for Publication Bias	1994	Colin B. Begg Madhuchhanda Mazumdar	2
+	Asymptotic Statistics	1998	Aad van der Vaart	2
+	A sensitivity analysis for publication bias in systematic reviews	2001	J. B. Copas Jian Qing Shi	2
+ PDF Chat	Specification Tests in Econometrics	1978	Jerry A. Hausman	2
+ PDF Chat	On the asymptotic behaviour of the pseudolikelihood ratio test statistic with boundary problems	2010	Y. Chen K.-Y. Liang	2
+	Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data	1995	James M. Robins Andrea Rotnitzky Lue Ping Zhao	2
+	Network meta‐analysis for indirect treatment comparisons	2002	Thomas Lumley	2
+	Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data	2014	Jiwei Zhao Jun Shao	2
+ PDF Chat	Differences between clinical trials and postmarketing use	2003	Karin Martin Bernard Bégaud Philippe Latry Ghada Miremont‐Salamé A Fourrier Nicholas Moore	2
+	A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models	2014	Yang Ning Yong Chen	2