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The Annals of Applied Statistics|August 6, 2021
INTEGRATIVE NETWORK LEARNING FOR MULTI-MODALITY BIOMARKER DATAShanghong Xie, Donglin Zeng, Yuanjia WangJournal of Machine Learning Research : JMLR|August 14, 2023
Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive TrialsDaiqi Gao, Yufeng Liu, Donglin ZengJournal of the American Statistical Association|May 6, 2024
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental DisordersXingche Guo, Donglin Zeng, Yuanjia WangThe International Journal of Biostatistics|September 26, 2024
Optimizing personalized treatments for targeted patient populations across multiple domainsYuan Chen, Donglin Zeng, Yuanjia WangJournal of Machine Learning Research : JMLR|March 16, 2026
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable SelectionDaiqi Gao, Yufeng Liu, Donglin ZengJournal of the American Statistical Association|March 4, 2017
Personalized Dose Finding Using Outcome Weighted LearningGuanhua Chen, Donglin Zeng, Michael R KosorokBiometrics|February 18, 2017
Semiparametric regression analysis of interval-censored competing risks dataLu Mao, Dan-Yu Lin, Donglin ZengJournal of Statistical Planning and Inference|December 21, 2016
Quantile Regression Models for Current Status DataFang-Shu Ou, Donglin Zeng, Jianwen CaiBiometrics|March 18, 2024
Fitting the Cox proportional hazards model to big dataJianqiao Wang, Donglin Zeng, Dan-Yu LinBiometrics|May 28, 2024
Integrating randomized and observational studies to estimate optimal dynamic treatment regimesAnna Batorsky, Kevin J Anstrom, Donglin ZengPageof 166