معرفی
Yajuan Si is a Researcher at the University of Michigan, affiliated with the School of Public Health and the Department of Biostatistics. Her work focuses on advancing statistical methodologies in survey inference and data analysis.
- Education: PhD from Duke University (2012)
- Email: yajuan@umich.edu
- Address: ISR 4014, 426 Thompson St, Ann Arbor, MI 48104
Research Interests
Dr. Si specializes in Bayesian statistics, survey inference, missing data analysis, and confidentiality protection techniques. Her projects address critical challenges such as:
- Statistical adjustments for nonresponse bias in complex surveys
- Enhancing synthetic data methods for privacy-preserving analysis
- Population heterogeneity correction in neuroimaging studies
- Unifying multilevel regression and poststratification frameworks
Selected Publications
Her recent work spans Bayesian modeling applications in education surveys, massive data imputation, and healthcare data analysis. Key themes include survey weighting, computational scalability, and bias correction.
Collaborative Efforts
Dr. Si collaborates with multidisciplinary teams across public health, economics, and social sciences, applying her statistical expertise to real-world problems in COVID-19 transmission modeling and demographic research.
