معرفی
Qing Yang is an Assistant Professor at Duke University School of Nursing (DUSON), where she joined in July 2014. Her academic background includes a PhD in Biostatistics from the University of California, Los Angeles (UCLA), and a BS in Mathematics from Beijing Institute of Technology in China. As a biostatistician, she collaborates with researchers across therapeutic areas including smoking cessation, mental health, diabetes, cardiovascular disease, and breast cancer.
Her educational qualifications are:
- PhD in Biostatistics, University of California, Los Angeles
- MS in Biostatistics, University of California, Los Angeles
- MS in Statistics, Beijing Institute of Technology
- BS in Mathematics, Beijing Institute of Technology
Dr. Yang specializes in survival analysis (including competing risks), longitudinal data analysis, clinical trial design, factor analysis, multivariate linear mixed models, and survey data analysis. Recent work focuses on dynamic treatment regimes, SMART designs, and mobile health/EHR data analysis. Her research bridges statistical methodology with practical applications in chronic disease management and health disparities, particularly in cardiovascular and metabolic conditions.
Analysis of her 2023-2025 publications reveals dominant themes in racial/ethnic health disparities (especially cardiovascular risk trajectories), advanced statistical modeling of symptom clusters using latent class and network analysis, and digital health interventions for hypertension/diabetes management. Her work increasingly addresses maternal health, sickle cell disease complications, and the impact of discrimination on healthcare utilization through sophisticated longitudinal and causal inference methods.
