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09/17/2023
Fully Synthetic Data for Complex Surveys
When seeking to release public use files for confidential data, statisti...
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06/30/2023
Latent Subgroup Identification in Image-on-scalar Regression
Image-on-scalar regression has been a popular approach to modeling the a...
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05/05/2022
Embedded Multilevel Regression and Poststratification: Model-based Inference with Incomplete Auxiliary Information
Health disparity research often evaluates health outcomes across subgrou...
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04/14/2022
Nonresponse Bias Analysis in Longitudinal Educational Assessment Studies
Longitudinal studies are subject to nonresponse when individuals fail to...
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02/18/2022
Beyond Vaccination Rates: A Synthetic Random Proxy Metric of Total SARS-CoV-2 Immunity Seroprevalence in the Community
Explicit knowledge of total community-level immune seroprevalence is cri...
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04/09/2021
Routine Hospital-based SARS-CoV-2 Testing Outperforms State-based Data in Predicting Clinical Burden
Throughout the COVID-19 pandemic, government policy and healthcare imple...
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04/09/2021
A Case Study of Nonresponse Bias Analysis
Nonresponse bias is a widely prevalent problem for data collections. We ...
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10/31/2020
On the Use of Auxiliary Variables in Multilevel Regression and Poststratification
Multilevel regression and poststratification (MRP) has been a popular ap...
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07/06/2020
Multiple Imputation with Massive Data: an Application to the Panel Study of Income Dynamics
Multiple imputation (MI) is a popular and well-established method for ha...
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05/31/2019
Bayesian Profiling Multiple Imputation for Missing Electronic Health Records
Electronic health records (EHRs) are increasingly used for clinical and ...
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01/08/2019
Bayes-raking: Bayesian Finite Population Inference with Known Margins
Raking is widely used in categorical data modeling and survey practice b...
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10/03/2017
Bayesian Inference under Cluster Sampling with Probability Proportional to Size
Cluster sampling is common in survey practice, and the corresponding inf...
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07/25/2017