Robust estimating equations and bias correction of correlation parameters for longitudinal data. - Guoyou Qin; Zhong Yi Zhu; Wing K. Fung (Comput. Stat. Data Anal., 2008)

A semiparametric accelerated failure time partial linear model and its application to breast cancer. - Yubo Zou; Jiajia Zhang; Guoyou Qin (Comput. Stat. Data Anal., 2011)

Variable selection in robust regression models for longitudinal data. - Yali Fan; Guoyou Qin; Zhong Yi Zhu (J. Multivar. Anal., 2012)

Robust empirical likelihood inference for generalized partial linear models with longitudinal data. - Guoyou Qin; Yang Bai; Zhong Yi Zhu (J. Multivar. Anal., 2012)

Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error. - Guoyou Qin; Jiajia Zhang; Zhong Yi Zhu (Comput. Stat. Data Anal., 2016)

Analysis of longitudinal data with covariate measurement error and missing responses: An improved unbiased estimating equation. - Huiming Lin; Guoyou Qin; Jiajia Zhang; Zhong Yi Zhu (Comput. Stat. Data Anal., 2018)

Robust estimation in linear regression models for longitudinal data with covariate measurement errors and outliers. - Yuexia Zhang 002; Guoyou Qin; Zhongyi Zhu; Jiajia Zhang (J. Multivar. Anal., 2018)

A novel robust approach for analysis of longitudinal data. - Yuexia Zhang 002; Guoyou Qin; Zhongyi Zhu; Wanghong Xu (Comput. Stat. Data Anal., 2019)

Communication-efficient distributed M-estimation with missing data. - Jianwei Shi 003; Guoyou Qin; Huichen Zhu; Zhongyi Zhu (Comput. Stat. Data Anal., 2021)

Multiply robust subgroup identification for longitudinal data with dropouts via median regression. - Wenqi Lu; Guoyou Qin; Zhongyi Zhu; Dongsheng Tu (J. Multivar. Anal., 2021)

Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study. - Kecheng Wei; Guoyou Qin; Jiajia Zhang; Xuemei Sui (Comput. Stat. Data Anal., 2022)

Empirical likelihood inference for longitudinal data with covariate measurement errors: An application to the LEAN study. - Yuexia Zhang 002; Guoyou Qin; Zhongyi Zhu; Jiajia Zhang (Comput. Stat. Data Anal., 2022)

A robust threshold t linear mixed model for subgroup identification using multivariate T distributions. - Rui Zhang; Guoyou Qin; Dongsheng Tu (Comput. Stat., 2023)

High-dimensional generalized median adaptive lasso with application to omics data. - Yahang Liu; Qian Gao; Kecheng Wei; Chen Huang; Ce Wang; Yongfu Yu; Guoyou Qin; Tong Wang 019 (Briefings Bioinform., 2024)

Robust double machine learning model with application to omics data. - Xuqing Wang; Yahang Liu; Guoyou Qin; Yongfu Yu (BMC Bioinform., 2024)

A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. - Lulu Pan; Qian Gao; Kecheng Wei; Yongfu Yu; Guoyou Qin; Tong Wang 019 (PLoS Comput. Biol., 2025)