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Variable Inclusion Strategies through Directed Acyclic Graphs to adjust Health Surveys subject to Selection Bias for Producing National Estimates Cover

Variable Inclusion Strategies through Directed Acyclic Graphs to adjust Health Surveys subject to Selection Bias for Producing National Estimates

Open Access
|Sep 2022

Authors

Yan Li

yli6@umd.edu

Joint Program in Survey Methodology, Department of Epidemiology and Biostatistics, 1218 Lefrak Hall, University of Maryland College Park, U.S.A.

Katherine E. Irimata

oui4@cdc.gov

Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.

Yulei He

wdq7@cdc.gov

Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.

Jennifer Parker

jdp3@cdc.gov

Division of Research and Methodology, National Center for Health Statistics, Centers for Disease Control and Prevention, U.S.A.
Language: English
Page range: 875 - 900
Submitted on: Jul 1, 2021
|
Accepted on: Apr 1, 2022
|
Published on: Sep 12, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 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.