معرفی
Yanqing Sun is a Full Professor of Statistics in the Department of Mathematics and Statistics at the University of North Carolina at Charlotte. Her research focuses on advanced statistical methodologies for survival analysis, vaccine efficacy trials, and longitudinal data, particularly in handling complex data structures like missing covariates, interval censoring, and competing risks. She is affiliated with major statistical societies, including the American Statistical Association and International Statistical Institute.
Education
- Ph.D. in Statistics, Florida State University (1993)
- M.S. in Statistics, Florida State University (1990)
- M.S. in Applied Mathematics, Huazhong University of Science and Technology, China (1985)
- B.S. in Mathematics, Wuhan University of Technology, China (1982)
Research Interests
Dr. Sun specializes in semiparametric and nonparametric regression models for failure time data, with a focus on applications to HIV, dengue, and COVID-19 vaccine trials. Her work includes empirical likelihood inference, quantile regression, and analysis of multivariate survival data with missing information.
Scientific Awards
- Elected Fellow of American Statistical Association
- Elected Member of International Statistical Institute
- Permanent Member of International Chinese Statistical Association
- Member of Institute of Mathematical Statistics
Publications Trends
Dr. Sun's recent publications emphasize statistical methods for vaccine efficacy trials, particularly in handling missing data and continuous marks. Her work spans semiparametric Cox-Aalen models, quantile regression, competing risks, and longitudinal data analysis with measurement errors. Key applications include HIV, AIDS, and dengue vaccine studies.
