46 citations · 123 across the 16 of their papers we have counts for
16 papers
Fully Synthetic Data for Complex Surveys
Shirley Mathur, Yajuan Si, Jerome P. Reiter
When seeking to release public use files for confidential data, statistical agencies can generate fully synthetic data. We propose an approach for making fully synthetic data from…
Latent Subgroup Identification in Image-on-scalar Regression
Zikai Lin, Yajuan Si, Jian Kang
Image-on-scalar regression has been a popular approach to modeling the association between brain activities and scalar characteristics in neuroimaging research. The associations co…
Embedded Multilevel Regression and Poststratification: Model-based Inference with Incomplete Auxiliary Information
Katherine Li, Yajuan Si
Health disparity research often evaluates health outcomes across demographic subgroups. Multilevel regression and poststratification (MRP) is a popular approach for small subgroup…
Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
Yajuan Si, Roderick Little, Ya Mo +1
Longitudinal studies are subject to nonresponse when individuals fail to provide data for entire waves or particular questions of the survey. We compare approaches to nonresponse b…
Beyond Vaccination Rates: A Synthetic Random Proxy Metric of Total SARS-CoV-2 Immunity Seroprevalence in the Community
Yajuan Si, Leonard Covello, Siquan Wang +2
Explicit knowledge of total community-level immune seroprevalence is critical to developing policies to mitigate the social and clinical impact of SARS-CoV-2. Publicly available va…
Routine Hospital-based SARS-CoV-2 Testing Outperforms State-based Data in Predicting Clinical Burden
Len Covello, Andrew Gelman, Yajuan Si +1
Throughout the COVID-19 pandemic, government policy and healthcare implementation responses have been guided by reported positivity rates and counts of positive cases in the commun…
A Case Study of Nonresponse Bias Analysis In Educational Assessment Surveys
Yajuan Si, Roderick J. A. Little, Ya Mo +1
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply…
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification
Yajuan Si
Multilevel regression and poststratification (MRP) is a popular method for addressing selection bias in subgroup estimation, with broad applications across fields from social scien…
Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics
Yajuan Si, Steve Heeringa, David Johnson +4
\Multiple imputation (MI) is a popular and well-established method for handling missing data in multivariate data sets, but its practicality for use in massive and complex data set…
Bayesian Profiling Multiple Imputation for Missing Electronic Health Records
Yajuan Si, Mari Palta, Maureen Smith
Electronic health records (EHRs) are increasingly used for clinical and comparative effectiveness research, but suffer from missing data. Motivated by health services research on d…
Bayes-raking: Bayesian Finite Population Inference with Known Margins
Yajuan Si, Peigen Zhou
Raking is widely used in categorical data modeling and survey practice but faced with methodological and computational challenges. We develop a Bayesian paradigm for raking by inco…
Bayesian Inference under Cluster Sampling with Probability Proportional to Size
Susanna Makela, Yajuan Si, Andrew Gelman
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account…
Bayesian hierarchical weighting adjustment and survey inference
Yajuan Si, Rob Trangucci, Jonah Sol Gabry +1
We combine Bayesian prediction and weighted inference as a unified approach to survey inference. The general principles of Bayesian analysis imply that models for survey outcomes s…
Bayesian Latent Pattern Mixture Models for Handling Attrition in Panel Studies With Refreshment Samples
Yajuan Si, Jerome P. Reiter, D. Sunshine Hillygus
Many panel studies collect refreshment samples---new, randomly sampled respondents who complete the questionnaire at the same time as a subsequent wave of the panel. With appropria…
Bayesian Nonparametric Weighted Sampling Inference
Yajuan Si, Natesh S. Pillai, Andrew Gelman
It has historically been a challenge to perform Bayesian inference in a design-based survey context. The present paper develops a Bayesian model for sampling inference in the prese…
Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples
Yiting Deng, D. Sunshine Hillygus, Jerome P. Reiter +2
Panel studies typically suffer from attrition, which reduces sample size and can result in biased inferences. It is impossible to know whether or not the attrition causes bias from…