Yuanjia Wang

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Venues

Statistics in medicine

Biometrics

Proceedings of the National Academy of Sciences of the United States of America

Columbia University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Columbia University

United States

PHD :: Statistics

Publications

Erin I McDonnell, Shanghong Xie, Karen Marder, Fanyu Cui, Yuanjia Wang
Dynamic undirected graphical models for time-varying clinical symptom and neuroimaging networks. Statistics in medicine (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine 43 (14) (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine (2024)
Erin I McDonnell, Shanghong Xie, Karen Marder, Fanyu Cui, Yuanjia Wang
Dynamic undirected graphical models for time-varying clinical symptom and neuroimaging networks. Statistics in medicine 43 (21) (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine 43 (14) (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine 43 (14) (2024)
Erin I McDonnell, Shanghong Xie, Karen Marder, Fanyu Cui, Yuanjia Wang
Dynamic undirected graphical models for time-varying clinical symptom and neuroimaging networks. Statistics in medicine 43 (21) (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine (2024)
Bin Yang, Xingche Guo, Ji Meng Loh, Qinxia Wang, Yuanjia Wang
Learning optimal biomarker-guided treatment policy for chronic disorders. Statistics in medicine 43 (14) (2024)
Shanghong Xie, Donglin Zeng, Yuanjia Wang
Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components. Biometrics 80 (2) (2024)
Tianchen Xu, Yuan Chen, Donglin Zeng, Yuanjia Wang
Self-matched learning to construct treatment decision rules from electronic health records. Statistics in medicine 41 (17) (2022)
Estee Y Cramer, Evan L Ray, Velma K Lopez, Johannes Bracher, Andrea Brennen, Alvaro J Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Katie H House, Yuxin Huang, Dasuni Jayawardena, Abdul H Kanji, Ayush Khandelwal, Khoa Le, Anja Mühlemann, Jarad Niemi, Apurv Shah, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W Zorn, Youyang Gu, Sansiddh Jain, Nayana Bannur, Ayush Deva, Mihir Kulkarni, Srujana Merugu, Alpan Raval, Siddhant Shingi, Avtansh Tiwari, Jerome White, Neil F Abernethy, Spencer Woody, Maytal Dahan, Spencer J Fox, Kelly Gaither, Michael Lachmann, Lauren Ancel Meyers, James G Scott, Mauricio Tec, Ajitesh Srivastava, Glover E George, Jeffrey C Cegan, Ian D Dettwiller, William P England, Matthew W Farthing, Robert H Hunter, Brandon Lafferty, Igor Linkov, Michael L Mayo, Matthew D Parno, Michael A Rowland, Benjamin D Trump, Yanli Zhang-James, Samuel Chen, Stephen V Faraone, Jonathan Hess, Christopher P Morley, Asif Salekin, Dongliang Wang, Sabrina M Corsetti, Thomas M Baer, Marisa C Eisenberg, Karl Falb, Yitao Huang, Emily T Martin, Ella McCauley, Robert L Myers, Tom Schwarz, Daniel R Sheldon, Graham Casey Gibson, Rose Yu, Liyao Gao, Yian Ma, Dongxia Wu, Xifeng Yan, Xiaoyong Jin, Yu-Xiang Wang, YangQuan Chen, Lihong Guo, Yanting Zhao, Quanquan Gu, Jinghui Chen, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Hannah Biegel, Joceline Lega, Steve McConnell, V P Nagraj, Stephanie L Guertin, Christopher Hulme-Lowe, Stephen D Turner, Yunfeng Shi, Xuegang Ban, Robert Walraven, Qi-Jun Hong, Stanley Kong, Axel van de Walle, James A Turtle, Michal Ben-Nun, Steven Riley, Pete Riley, Ugur Koyluoglu, David DesRoches, Pedro Forli, Bruce Hamory, Christina Kyriakides, Helen Leis, John Milliken, Michael Moloney, James Morgan, Ninad Nirgudkar, Gokce Ozcan, Noah Piwonka, Matt Ravi, Chris Schrader, Elizabeth Shakhnovich, Daniel Siegel, Ryan Spatz, Chris Stiefeling, Barrie Wilkinson, Alexander Wong, Sean M Cavany, Guido España, Sean M Moore, Rachel J Oidtman, T Alex Perkins, David Kraus, Andrea Kraus, Zhifeng Gao, Jiang Bian, Wei Cao, Juan M Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Alessandro Vespignani, Matteo Chinazzi, Jessica T Davis, Kunpeng Mu, Ana Pastore Y Piontti, Xinyue Xiong, Andrew Zheng, Jackie Baek, Vivek Farias, Andreea Georgescu, Retsef Levi, Deeksha Sinha, Joshua Wilde, Georgia Perakis, Mohammed Amine Bennouna, David Nze-Ndong, Divya Singhvi, Ioannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas, Arnab Sarker, Ali Jadbabaie, Devavrat Shah, Nicolas Della Penna, Leo Anthony Celi, Saketh Sundar, Russ Wolfinger, Dave Osthus, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dean Karlen, Matt Kinsey, Luke C Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Elizabeth C Lee, Juan Dent Hulse, Kyra H Grantz, Alison L Hill, Joshua Kaminsky, Kathryn Kaminsky, Lindsay T Keegan, Stephen A Lauer, Joseph Chadi Lemaitre, Justin Lessler, Hannah R Meredith, Javier Perez-Saez, Sam Shah, Claire P Smith, Shaun A Truelove, Josh Wills, Maximilian Marshall, Lauren Gardner, Kristen Nixon, John C Burant, Lily Wang, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Yueying Wang, Shan Yu, Robert C Reiner, Ryan Barber, Emmanuela Gakidou, Simon I Hay, Steve Lim, Christopher J L Murray, David Pigott, Heidi L Gurung, Prasith Baccam, Steven A Stage, Bradley T Suchoski, B Aditya Prakash, Bijaya Adhikari, Jiaming Cui, Alexander Rodríguez, Anika Tabassum, Jiajia Xie, Pınar Keskinocak, John Asplund, Arden Baxter, Buse Eylul Oruc, Nicoleta Serban, Sercan O Arik, Mike Dusenberry, Arkady Epshteyn, Elli Kanal, Long T Le, Chun-Liang Li, Tomas Pfister, Dario Sava, Rajarishi Sinha, Thomas Tsai, Nathanael C Yoder, Jinsung Yoon, Leyou Zhang, Sam Abbott, Nikos I Bosse, Sebastian Funk, Joel Hellewell, Sophie R Meakin, Katharine Sherrat, Mingyuan Zhou, Rahi Kalantari, Teresa K Yamana, Sen Pei, Jeffrey L Shaman, Michael Lingzhi Li, Dimitris Bertsimas, Omar Skali Lami, Saksham Soni, Hamza Tazi Bouardi, Turgay Ayer, Madeline Adee, Jagpreet Chhatwal, Ozden O Dalgic, Mary A Ladd, Benjamin P Linas, Peter Mueller, Jade Xiao, Yuanjia Wang, Qinxia Wang, Shanghong Xie, Donglin Zeng, Alden Green, Jacob Bien, Logan Brooks, Addison J Hu, Maria Jahja, Daniel J McDonald, Balasubramanian Narasimhan, Collin A Politsch, Samyak Rajanala, Aaron Rumack, Noah Simon, Ryan J Tibshirani, Rob Tibshirani, Valerie Ventura, Larry Wasserman, Eamon B O'Dea, John M Drake, Robert Pagano, Quoc T Tran, Lam Si Tung Ho, Huong Huynh, Jo W Walker, Rachel B Slayton, Michael A Johansson, Matthew Biggerstaff, Nicholas G Reich
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America 119 (15) (2022)
Qinxia Wang, Ji Meng Loh, Xiaofu He, Yuanjia Wang
A latent state space model for estimating brain dynamics from electroencephalogram (EEG) data. Biometrics (2022)
Hang Yu, Yuanjia Wang, Donglin Zeng
A general framework of nonparametric feature selection in high-dimensional data. Biometrics (2022)
Shanghong Xie, Wenbo Wang, Qinxia Wang, Yuanjia Wang, Donglin Zeng
Evaluating effectiveness of public health intervention strategies for mitigating COVID-19 pandemic. Statistics in medicine 41 (19) (2022)
Jitong Lou, Yuanjia Wang, Lang Li, Donglin Zeng
Learning latent heterogeneity for type 2 diabetes patients using longitudinal health markers in electronic health records. Statistics in medicine 40 (8) (2021)
Shanghong Xie, Erin McDonnell, Yuanjia Wang
Conditional Gaussian graphical model for estimating personalized disease symptom networks. Statistics in medicine (2021)
Yuan Chen, Yuanjia Wang, Donglin Zeng
Synthesizing independent stagewise trials for optimal dynamic treatment regimes. Statistics in medicine 39 (28) (2020)
Peng Wu, Donglin Zeng, Haoda Fu, Yuanjia Wang
On using electronic health records to improve optimal treatment rules in randomized trials. Biometrics 76 (4) (2020)
Xin Qiu, Yuanjia Wang
Composite interaction tree for simultaneous learning of optimal individualized treatment rules and subgroups. Statistics in medicine 38 (14) (2019)
Ming Sun, Donglin Zeng, Yuanjia Wang
Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers. Biometrics 75 (4) (2019)
Shanghong Xie, Xiang Li, Peter McColgan, Rachael I Scahill, Donglin Zeng, Yuanjia Wang
Identifying disease-associated biomarker network features through conditional graphical model. Biometrics 76 (3) (2019)
Christine M Mauro, M Katherine Shear, Yuanjia Wang
Integrating multiple-domain rules for disease classification. Statistics in medicine 38 (16) (2019)
Ying Liu, Yuanjia Wang, Michael R Kosorok, Yingqi Zhao, Donglin Zeng
Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens. Statistics in medicine 37 (26) (2018)
Ming Sun, Yuanjia Wang
Nonlinear model with random inflection points for modeling neurodegenerative disease progression. Statistics in medicine 37 (30) (2018)
Xiang Li, Shanghong Xie, Donglin Zeng, Yuanjia Wang
Efficient ℓ0 -norm feature selection based on augmented and penalized minimization. Statistics in medicine 37 (3) (2017)
Annie J Lee, Karen Marder, Roy N Alcalay, Helen Mejia-Santana, Avi Orr-Urtreger, Nir Giladi, Susan Bressman, Yuanjia Wang
Estimation of genetic risk function with covariates in the presence of missing genotypes. Statistics in medicine 36 (22) (2017)
Xin Qiu, Donglin Zeng, Yuanjia Wang
Estimation and evaluation of linear individualized treatment rules to guarantee performance. Biometrics 74 (2) (2017)

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Publication Activity (10 Years)

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Yuanjia Wang