Research Assistant Professor, Survey Research Center, Institute for Social Research and Research Assistant Professor, Biostatistics, School of Public Health
Yajuan Si is a Research Assistant Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus. She received her Ph.D on Statistical Science in 2012 from Duke University. Before joining the University of Michigan in 2017, Yajuan was an assistant professor jointly in the Department of Biostatistics & Medical Informatics and the Department of Population Health Sciences at the University of Wisconsin-Madison and a Postdoctoral Research Scholar in the Department of Statistics at Columbia University. Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection. Yajuan has extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and she has been providing statistical support to solve sampling and analysis issues on health and social science surveys.
- Kevin Constante, Huntley, Edward, Si, Yajuan, Emma Schillinger, Christine Wagner, Keating, Daniel P. 2020. Conceptualizing protective family context and its effect on substance use: Comparisons across diverse ethnic-racial youth. Substance Abuse
- Si, Yajuan, Makela, Susanna , Gelman, Andrew . 2018. Bayesian inference under cluster sampling with probability proportional to size. Statistics in Medicine 37(26):3849-3868.
- Si, Yajuan, Makela, S , Gelman, A . 2017. Graphical Visualization of Polling Results. The Oxford Handbook of Polling and Polling Methods
- Si, Yajuan, Early, D M, Berg, J K, Alicea, S , Aber, J L, Ryan, R M, Deci, E L. 2016. The impact of every classroom, every day on high school student achievement: Results from a school-randomized trial. Journal of Research on Educational Effectiveness 9:3-29.
- Si, Yajuan, Neuman, Heather B, Schumacher, Jessica R, Francescatti, Amanda B, Adesoye, Taiwo , SB, Edge , ES, Burnside , DJ, Vanness , M, Yu , D, McKellar , DP, Winchester , Greenberg, Caprice C. 2016. Utility of Clinical Breast Exams in Detecting Local-Regional Breast Events after Breast-Conservation in Women with a Personal History of High-risk Breast Cancer. Annals of surgical oncology 23(10):3385-3391.
- Si, Yajuan, Reiter, Jerome P, Hillygus, D S. 2016. Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples. Annals of Applied Statistics 10(1):118-143.
- Si, Yajuan, Reiter, Jerome P, Hillygus, D S. 2015. Semi-parametric Selection Models for Potentially Non-ignorable Attrition in Panel Studies with Refreshment Samples. Political Analysis 2017/01/04(1):92-112.
- Si, Yajuan, Pillai, Natesh S, Gelman, Andrew . 2015. Bayesian Nonparametric Weighted Sampling Inference. Bayesian Analysis 10(3):605-625.
- Si, Yajuan, Makela, Susanna , Gelman, Andrew . 2014. Statistical Graphics for Survey Weights. Revista Colombiana de EstadIstica 37(2):285-295.
- Si, Yajuan, Reiter, Jerome P. 2013. Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys. Journal of Educational and Behavioral Statistics 38(5):499-521.
- Si, Yajuan, Deng, Yiting , Hillygus, D S, Reiter, Jerome P, Zheng, Siyu . 2013. Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples. Statistical Science 28(2):238-256.
- Si, Yajuan, Reiter, JP . 2011. A Comparison of Posterior Simulation and Inference by Combining Rules for Multiple Imputation. Journal of Statistical Theory and Practice 5(2):335-347.