Areas of Focus
- Biostatistics and Clinical Trial Statistical Methods, Applications, and Software Development
- Survival Analysis, Clinical Prediction Models, Longitudinal Cohort Data Modeling
- Development and Application of Artificial Intelligence in the Medical Field
- Epidemiological Data Modeling
Publications
- Analysis of dynamic restricted mean survival time based on pseudo-observations, Yang Z, Zhang C, Hou Y, Chen Z, 2023
- Communicating and understanding statistical measures when quantifying the between-group difference in competing risks, Wu H, Zhang C, Hou Y, Chen Z, 2023
- A dynamic prediction model supporting individual life expectancy prediction based on longitudinal time-dependent covariates, Zhang C, Li Z, Yang Z, Huang B, Hou Y, Chen Z, 2023
- Dynamic effects of prognostic factors and individual survival prediction for amyotrophic lateral sclerosis disease, Huang B, Geng X, Yu Z, Zhang C, Chen Z, 2023
- Combined Tests Based on Restricted Mean Time Lost for Competing Risks Data, Lyu J, Hou Y, Chen Z, 2023
- Restricted mean survival time regression model with time-dependent covariates, Zhang C, Huang B, Wu H, Yuan H, Hou Y, Chen Z, 2022
- Implementation of an Alternative Method for Assessing Competing Risks: Restricted Mean Time Lost, Wu H, Yuan H, Yang Z, Hou Y, Chen Z, 2022
- Dynamic prediction and analysis based on restricted mean survival time in survival analysis with nonproportional hazards, Yang Z, Wu H, Hou Y, Yuan H, Chen Z, 2021
- Comparison of Two Treatments in the Presence of Competing Risks, Lyu J, Chen J, Hou Y, Chen Z, 2020
- Dynamic prediction and prognostic analysis of patients with cervical cancer: a landmarking analysis approach, Yang Z, Hou Y, Lyu J, Liu D, Chen Z, 2020
- 限制平均生存时间在临床随访研究中的应用, 杨紫荆, 吕晶晶, 侯雅文, 陈征, 2019
- ComparisonSurv: Comparison of Survival Curves between Two Groups, Lyu J, Chen Z, Li H, Chen J, Huang X, 2022
- ComparisonCR: Comparison of Cumulative Incidence Between Two Groups Under Competing Risks, Lyu J, Chen Z, Chen J, 2020
- crRMTL: Restricted Mean Time Lost for Competing Risks Data, Wu H, Chen Z, 2022
Awards
- Third Prize in the Sixth National Applied Statistics Graduate Education Teaching Achievement Award (2023): Case Title: Dynamic 'Life' Prediction Model Depicting Longitudinal Trajectories - Applied to Primary Biliary Cirrhosis Progression Research
- Second Prize in the 2023 Excellent Paper Award of Guangdong Provincial Statistical Society (2023): Paper Title: Establishing a Dynamic Regression Prediction Model with Time Scale Indicators as Response Variables
- Third Prize in the Seventh National Statistics Doctoral Student Academic Forum Excellent Paper Award (2023): Paper Title: Establishing a Dynamic Regression Prediction Model for Individual Survival Time Based on Landmark and Joint Models
- First Prize in the Ninth National Undergraduate Statistical Modeling Competition (2023): Work Title: Survival Prediction and Prognosis Evaluation of Elderly Stroke Patients in China
- Twelfth 'Outstanding Teacher of Southern Medical University' (2021)
- Third Prize in the Fourth National Applied Statistics Graduate Education Teaching Achievement Award (2020): Case Title: Establishing Prognosis Analysis and Dynamic Prediction Model for Cervical Cancer Patients Based on Landmark Method
- First Prize in the Teaching Excellence Award of Southern Medical University (2019)
- Outstanding Young Scholar Award at the First National Biostatistics Annual Conference (2016)
- Third Prize in the Tenth National Statistical Research Outstanding Achievement Award (2010)