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139 * ! Mon, 8/8/2022, 10:30 AM - 12:20 PM CC-202A
Improving Population Inference Using Statistical Data Integration — Topic Contributed Papers
Survey Research Methods Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch
Chair(s): Hormuzd Katki, National Cancer Institute
10:35 AM Integrating Probability and Non-Probability Samples Through Machine Learning Based Methods
Sixia Chen, University of Oklahoma Health Sciences Center; Chao Xu, University of Oklahoma Health Sciences Center; James Cutler, University of Oklahoma Health Sciences Center
10:55 AM Functional Calibration Estimator for Non-Probability Sampling
Zhonglei Wang, Xiamen University; Jae-kwang Kim, Iowa State University; Xiaojun Mao, Shanghai Jiao Tong University
11:15 AM Nationally Representative Absolute Risk Estimation Combining Individual Data from Epidemiologic Studies and Population-Based Surveys with Summary Statistics from Disease Registry
Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch; Yan Li, University of Maryland, College Park; Barry Graubard , National Cancer Institute (NCI); Hormuzd Katki, National Cancer Institute
11:35 AM Embedded Multilevel Regression and Poststratification: Model-Based Inference with Incomplete Auxiliary Information
Katherine Li, University of Michigan School of Public Health; Yajuan Si, University of Michigan
11:55 AM Analysis of Data Combined from Multiple Sources in the Presence of Linkage Error
Martin Slawski, George Mason University; Brady Thomas West, Institute for Social Research, University of Michigan-Ann Arbor; Emanuel Ben-David, United States Census Bureau
12:15 PM Floor Discussion