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Biometrics|August 2, 2016
Joint partially linear model for longitudinal data with informative drop-outsSehee Kim, Donglin Zeng, Jeremy M G TaylorJournal of Statistical Theory and Practice|August 9, 2013
Joint Modeling of Longitudinal and Cure-survival DataSehee Kim, Donglin Zeng, Yi Li, et al.Statistics in Medicine|October 14, 2021
Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's diseaseHaotian Zou, Kan Li, Donglin Zeng, et al.Frontiers in Public Health|July 29, 2020
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation StrategiesQinxia Wang, Shanghong Xie, Yuanjia Wang, et al.Statistics in Medicine|February 22, 2023
Multivariate functional mixed model with MRI data: An application to Alzheimer's diseaseHaotian Zou, Luo Xiao, Donglin Zeng, et al.Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation StrategiesQinxia Wang, Shanghong Xie, Yuanjia Wang, et al.Statistics and Its Interface|February 12, 2024
Estimating individualized treatment rules for multicategory type 2 diabetes treatments using electronic health recordsJitong Lou, Yuanjia Wang, Lang Li, et al.The Annals of Applied Statistics|September 18, 2023
BAYESIAN INFERENCE AND DYNAMIC PREDICTION FOR MULTIVARIATE LONGITUDINAL AND SURVIVAL DATAHaotian Zou, Donglin Zeng, Luo Xiao, et al.Bernoulli : Official Journal of the Bernoulli Society for Mathematical Statistics and Probability|March 9, 2026
Data fusion methods for the heterogeneity of treatment effect and confounding functionShu Yang, Siyi Liu, Donglin Zeng, et al.Journal of the Royal Statistical Society. Series B, Statistical Methodology|July 31, 2023
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimationShu Yang, Chenyin Gao, Donglin Zeng, et al.Pageof 50