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Statistics in Medicine|September 5, 2023
Semiparametric multivariate joint model for skewed-longitudinal and survival data: A Bayesian approachJiaqing Chen, Yangxin Huang, Qing WangStatistics in Medicine|May 1, 2015
A Bayesian mixture of semiparametric mixed-effects joint models for skewed-longitudinal and time-to-event dataJiaqing Chen, Yangxin HuangStatistics in Medicine|September 6, 2016
Bayesian quantile regression-based nonlinear mixed-effects joint models for time-to-event and longitudinal data with multiple featuresYangxin Huang, Jiaqing ChenStatistical Methods in Medical Research|July 20, 2014
Hierarchical mixture models for longitudinal immunologic data with heterogeneity, non-normality, and missingnessYangxin Huang, Jiaqing Chen, Ping YinThe International Journal of Biostatistics|November 30, 2012
Mixed-effects joint models with skew-normal distribution for HIV dynamic response with missing and mismeasured time-varying covariateYangxin Huang, Jiaqing Chen, Chunning YanJournal of Biopharmaceutical Statistics|December 10, 2016
Bayesian quantile regression for nonlinear mixed-effects joint models for longitudinal data in the presence of mismeasured covariate errorsYangxin Huang, Jiaqing Chen, Huahai QiuJournal of Applied Statistics|August 29, 2022
Multivariate piecewise joint models with random change-points for skewed-longitudinal and survival dataYangxin Huang, Nian-Sheng Tang, Jiaqing ChenStatistics in Medicine|March 10, 2026
Two-Part Hidden Semi-Markov Mixed Effects Models for Semi-Continuous Longitudinal DataYibo Long, Jiaqing Chen, Xueqiang Ye, et al.Entropy (Basel, Switzerland)|March 29, 2023
Quantile-Adaptive Sufficient Variable Screening by Controlling False DiscoveryZihao Yuan, Jiaqing Chen, Han Qiu, et al.Frontiers in Big Data|May 16, 2022
Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes StudyYangxin Huang, Jiaqing Chen, Lan Xu, et al.Pageof 874