Yajuan Si, PhD

Yajuan Si

Assistant Professor, Departments of Biostatistics & Medical Informatics and Population Health Sciences




Yajuan Si is an Assistant Professor in the Department of Biostatistics & Medical Informatics and Department of Population Health Sciences. Dr. Si's statistical research lies in cutting-edge methodology development in streams of hierarchical Bayesian modeling, latent variable models, missing data imputation, complex survey inference, causal inference and data confidentiality protection. Her collaborative research interests include survey adjustment, health services research and epidemiology.

Research Funding

Profiling Missing Data in Electronic Health Records for Diabetes Care Research
NIH-NIDDK, R21DK110688, 9/1/2016-8/31/2018
Role: Principal Investigator

Multilevel Regression and Poststratification: A Unified Framework for Survey Weighted Inference
National Science Foundation, 10/1/2015-9/30/2018
Role: Principal Investigator

Recent Publications (selected)

Si Y, Reiter JP, Hillygus S. "Bayesian latent pattern mixture models in panel studies with refreshment samples." Ann Applied Stat 2016;10(1):118-43.

Early D, Berg J, Aicea S, Si Y, Aber J, Ryan R, Deci E. "The impact of Every Classroom, Every Day on student achievement: Results from a school-randomized efficacy trial." J Res Educ Effectiveness 2016;9(1):3-29.

Si Y, Pillai N, Gelman A. "Bayesian nonparametric weighted sampling interface." Bayesian Analysis 2015;10(3):605-25.

Si Y, Reiter JP, Hillygus S. "Semi-parametric selection models for potentially non-ignorable attribution in panel studies with refreshment samples." Political Analysis 2015;23:92-112.

Makela S, Si Y, Gelman A. "Statistical graphics for survey weights." Revista Columbiana de Estadistica 2014;37:285-95.

Si Y, Reiter JP. "Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys." Journal of Educational and Behavioral Statistics. 2013;38:499-521.

Deng Y, Hillygus S, Reiter JP, Si Y, Zheng S. "Handling attrition in longitudinal studies: The case for refreshment samples." Statistical Science. 2013;22:238-56.

Si Y, Reiter JP. "A comparison of posterior simulation and inference by combining rules for multiple imputation." Journal of Statistical Theory and Practice. 2011;5:335-47.

Si Y, Reite JP. "A new approach to protect confidentiality for census microdata with missing values." JSM Proceedings, Section on Survey Research Methods. 2010.


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