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25 * !
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Mon, 8/3/2020,
10:00 AM -
11:50 AM
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Virtual
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Modern Techniques in Handling Missing Data with Challenging Data Structures Including Big and Small Data Files — Topic Contributed Papers
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Survey Research Methods Section, SSC (Statistical Society of Canada), Korean International Statistical Society
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Organizer(s): Sixia Chen, University of Oklahoma Health Sciences Center
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Chair(s): Sixia Chen, University of Oklahoma Health Sciences Center
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10:05 AM
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Nearest Neighbor Multiple Imputation: Problems and Potential Solutions
Rebecca Andridge, Ohio State University; Katherine Jenny Thompson, US Census Bureau
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10:25 AM
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Bayesian Jackknife Empirical Likelihood Based Inference for Missing Data and Causal Inference Problems
Yichuan Zhao, Georgia State University; Sixia Chen, University of Oklahoma Health Sciences Center; Yuke Wang, Georgia State University
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10:45 AM
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A Rescaling Bootstrap Method for Imputed Survey Data
Zeinab Mashreghi, University of Winnipeg; Huiqi Deng, University of Winnipeg
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11:05 AM
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Missing Data Analysis Using Machine Learning
Chao Xu, University of Oklahoma Health Science Center; Sixia Chen, University of Oklahoma Health Sciences Center
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11:25 AM
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Discussant: Don Jang, National Opinion Research Center(NORC) at the University of Chicago
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11:45 AM
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Floor Discussion
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