Variable Inclusion Strategies through Directed Acyclic Graphs to adjust Health Surveys subject to Selection Bias for Producing National Estimates
By: Yan Li, Katherine E. Irimata, Yulei He and Jennifer Parker
Authors
Yan Li
Joint Program in Survey Methodology, Department of Epidemiology and Biostatistics, 1218 Lefrak Hall, University of Maryland College Park, U.S.A.
Katherine E. Irimata
Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.
Yulei He
Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.
Jennifer Parker
Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.
DOI: https://doi.org/10.2478/jos-2022-0038 | Journal eISSN: 2001-7367
Language: English
Page range: 875 - 900
Submitted on: Jul 1, 2021
Accepted on: Apr 1, 2022
Published online: Sep 12, 2022
Published in print: Sep 1, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
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© 2022 Yan Li, Katherine E. Irimata, Yulei He, Jennifer Parker, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.