Robust variable selection in semiparametric mean-covariance regression for longitudinal data analysis. - Chaohui Guo; Hu Yang 001; Jing Lv (Appl. Math. Comput., 2014)

An efficient and robust variable selection method for longitudinal generalized linear models. - Jing Lv; Hu Yang 001; Chaohui Guo (Comput. Stat. Data Anal., 2015)

Robust smooth-threshold estimating equations for generalized varying-coefficient partially linear models based on exponential score function. - Jing Lv; Hu Yang 001; Chaohui Guo (J. Comput. Appl. Math., 2015)

SCAD penalized rank regression with a diverging number of parameters. - Hu Yang 001; Chaohui Guo; Jing Lv (J. Multivar. Anal., 2015)

Penalized LAD Regression for Single-index Models. - Hu Yang 001; Jing Lv; Chaohui Guo (Commun. Stat. Simul. Comput., 2016)

Robust estimation for varying index coefficient models. - Jing Lv; Hu Yang 001; Chaohui Guo (Comput. Stat., 2016)

Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data. - Jing Lv; Hu Yang 001; Chaohui Guo (Comput. Stat., 2016)

Erratum to: Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data. - Jing Lv; Hu Yang 001; Chaohui Guo (Comput. Stat., 2016)

Generalized varying index coefficient models. - Chaohui Guo; Hu Yang 001; Jing Lv (J. Comput. Appl. Math., 2016)

A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data. - Jing Lv; Chaohui Guo; Hu Yang 001; Yalian Li (Comput. Stat. Data Anal., 2017)

Variable selection in partially linear additive models for modal regression. - Jing Lv; Hu Yang 001; Chaohui Guo (Commun. Stat. Simul. Comput., 2017)

Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data. - Jing Lv; Chaohui Guo (Comput. Stat., 2017)

Challenges for the evaluation of digital health solutions - A call for innovative evidence generation approaches. - Chaohui Guo; Hutan Ashrafian; Saira Ghafur; Gianluca Fontana; Clarissa Gardner; Matthew Prime (npj Digit. Medicine, 2020)

Research on the Fluctuation Characteristics of Social Media Message Sentiment with Time Before and During the COVID-19 Epidemic. - Chaohui Guo; Shaofu Lin; Zhisheng Huang; Chengyu Shi; Yahong Yao (HIS, 2021)

Mental Health Question and Answering System Based on Bert Model and Knowledge Graph Technology. - Chaohui Guo; Shaofu Lin; Zhisheng Huang; Yahong Yao (ISAIMS, 2021)

Composite quantile regression for ultra-high dimensional semiparametric model averaging. - Chaohui Guo; Jing Lv; Jibo Wu (Comput. Stat. Data Anal., 2021)

Research on the Construction of Psychological Crisis Intervention Strategy Service System. - Yahong Yao; Shaofu Lin; Zhisheng Huang; Shushi Li; Chaohui Guo; Ying Wu (HIS, 2022)

Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research. - Clarissa Gardner; Jack Halligan; Gianluca Fontana; Roberto Fernandez Crespo; Matthew Prime; Chaohui Guo; Okan Ekinci; Saira Ghafur; Ara Darzi (Health Informatics J., 2022)

Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM. - Chaohui Guo; Shaofu Lin; Zhisheng Huang; Yahong Yao (Health Inf. Sci. Syst., 2022)

Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology. - Baoxin Wang; Shaofu Lin; Zhisheng Huang; Chaohui Guo (HIS, 2023)

Named Entity Recognition for Long COVID Biomedical Literature by Using Bert-BiLSTM-IDCNN-ATT-CRF Approach. - Zongwang Han; Shaofu Lin; Zhisheng Huang; Chaohui Guo (ISAIMS, 2023)

Robust ℓ 2,0-penalized rank regression for high-dimensional group selection. - Jing Lv; Chaohui Guo (Stat. Comput., 2025)