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Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates

CITE Title : Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates Personal Author(s) : Li, Yan;Irimata, Katherine E.;He, Yulei;Parker, Jennifer; Published Date : 9 2022;9-2022; Source : J Off Stat. 38(3):875-900 URL : https://stacks.cdc.gov/view/cdc/121561 Li, Yan et al. (2022). Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates. 38(3). Li, Yan et al. "Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates" 38, no. 3 (2022) Li, Yan et al. "Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates" vol. 38, no. 3, 2022 Export RIS Citation Information.

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Li, Yan ;

Irimata, Katherine E.

9 2022 | J Off Stat. 38(3):875-900

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Along with the rapid emergence of web surveys to address time-sensitive priority topics, various propensity score (PS)-based adjustment methods have b...

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