Publications

Yajuan Si (2024). On the Use of Auxiliary Variables in Multilevel Regression and Poststratification. Statistical Science.

Yajuan Si, Roderick J.A. Little, Ya Mo, Nell Sedransk (2024). Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study. International Statistical Review.

Yajuan Si, Toan Tran, Jonah Gabry, Mitzi Morris, Andrew Gelman (2024). Multilevel regression and poststratification interface: Application to track community-level COVID-19 viral transmission.

Zikai Lin, Yajuan Si, Jian Kang (2024). Latent subgroup identification in image-on-scalar regression. Annals of Applied Statistics.

Shirley Mathur, Yajuan Si, Jerome P. Reiter (2024). Fully Synthetic Data for Complex Surveys. Survey Methodology.

Yajuan Si, Gretchen Bandoli, Katherine M Cole, M Daniele Fallin, Elizabeth A Stuart, Kelly K Gurka, Keri N Althoff, Wesley K Thompson (2024). Advancing high quality longitudinal data collection: Implications for the HEALthy Brain and Child Development (HBCD) Study design and recruitment. Developmental Cognitive Neuroscience.

Yajuan Si, Sunghee Lee, Steven Heeringa (2023). Population weighting in statistical analysis. JAMA Internal Medicine.

Yajuan Si, Steve Heeringa, David Johnson, Roderick J A Little, Wenshuo Liu, Fabian Pfeffer, Trivellore Raghunathan (2023). Multiple imputation with massive data: An application to the Panel Study of Income Dynamics. Journal of Survey Statistics and Methodology.

Katherine Li, Yajuan Si (2023). Embedded Multilevel Regression and Poststratification: Model-based Inference with Incomplete Auxiliary Information. Statistics in Medicine.

Y Si, L Covello, S Wang, T Covello, A Gelman (2022). Beyond vaccination rates: A synthetic random proxy metric of total SARS-CoV-2 immunity seroprevalence in the community. Epidemiology.

Yajuan Si, Brady T. West, Philip Veliz, Megan E. Patrick, John E. Schulenberg, Deborah D. Kloska, Yvonne M. Terry-McElrath, Sean E. McCabe (2022). An empirical evaluation of alternative approaches to adjusting for attrition when analyzing longitudinal survey data on young adults' substance use trajectories. International Journal of Methods in Psychiatric Research.

Yajuan Si, Roderick J.A. Little, Ya Mo, Nell Sedransk (2022). A Case Study of Nonresponse Bias Analysis in Educational Assessment Surveys. Journal of Educational and Behavioral Statistics.

Leonard Covello, Andrew Gelman, Yajuan Si, Siquan Wang (2021). Routine hospital-based SARS-CoV-2 testing outperforms state-based data in predicting clinical burden. Epidemiology.

Yajuan Si, Mari Palta, Maureen Smith (2020). Bayesian Profiling Multiple Imputation for Missing Electronic Health Records. Annals of Applied Statistics.

Yajuan Si, Rob Trangucci, Jonah Sol Gabry, Andrew Gelman (2020). Bayesian hierarchical weighting adjustment and survey inference. Survey Methodology.

Susanna Makela, Yajuan Si, Andrew Gelman (2018). Bayesian inference under cluster sampling with probability proportional to size. Statistics in Medicine.

Yajuan Si, Peigen Zhou (2018). Bayes-raking: Bayesian Finite Population Inference with Known Margins. Journal of Survey Statistics and Methodology.

Susanna Makela, Yajuan Si, Andrew Gelman (2016). Graphical visualization of polling results. Handbook on Polling and Polling Methods.

Yajuan Si, D. Sunshine Hillygus, Jerome P. Reiter (2016). Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples. Annals of Applied Statistics.

Yajuan Si, Natesh S. Pillai, Andrew Gelman (2015). Bayesian Nonparametric Weighted Sampling Inference. Bayesian Analysis.

Yajuan Si, Andrew Gelman (2014). Survey Weighting for New York Longitudinal Survey on Poverty Measure. Technical Report.

Yajuan Si, Andrew Gelman (2014). Survey Weighting for Fragile Families and Child Wellbeing Study: Wave 5 Core Survey, Wave 3--5 Child Survey and Wave 3--5 Primary Caregiver Survey. Technical Report.

Susanna Makela, Yajuan Si, Andrew Gelman (2014). Statistical graphics for survey weights. Revista Colombiana de Estadistica.

Yajuan Si, Jerome P. Reiter, D. Sunshine Hillygus (2014). Semi-parametric selection models for potentially non-ignorable attrition in panel study with refreshment sample. Political Analysis.

Christopher Wimer, Irwin Garfinkel, Madeleine Gelblum, Narayani Lasala, Stephanie Phillips, Yajuan Si, Julien Teitler, Jane Waldfogel (2014). Poverty Tracker---Monitoring Poverty and Well-Being in NYC.

Yajuan Si, Jerome P Reiter (2013). Multiple imputation for incomplete categorical variables in large scale educational surveys. Journal of Educational and Behavioral Statistics.

Yiting Deng, D. Sunshine Hillygus, Jerome P. Reiter, Yajuan Si, Siyu Zheng (2013). Handling attrition in longitudinal studies: The case for refreshment samples. Statistical Science.

Yajuan Si (2012). Nonparametric Bayesian methods for multiple imputation of large scale incomplete categorical data in panel studies. PhD Thesis.

Yajuan Si, Jerome P. Reiter (2011). A comparison of posterior simulation and inference by combining rules for multiple imputation. Journal of Statistical Theory and Practice.

Yajuan Si, Jerome P Reiter (2010). A new three stage multiple imputation approach to protect confidentiality of incomplete census microdata. Proceedings of the Section on Survey Research Methods.