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A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System

Public health researchers have used a class of statistical methods to calculate prevalence estimates for small geographic areas with few direct observations. Many researchers have used Behavioral Risk Factor Surveillance System (BRFSS) data as a basis for their models. The aims of this study were to...

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Autores principales: Pierannunzi, Carol, Xu, Fang, Wallace, Robyn C., Garvin, William, Greenlund, Kurt J., Bartoli, William, Ford, Derek, Eke, Paul, Town, G. Machell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951081/
https://www.ncbi.nlm.nih.gov/pubmed/27418213
http://dx.doi.org/10.5888/pcd13.150480
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author Pierannunzi, Carol
Xu, Fang
Wallace, Robyn C.
Garvin, William
Greenlund, Kurt J.
Bartoli, William
Ford, Derek
Eke, Paul
Town, G. Machell
author_facet Pierannunzi, Carol
Xu, Fang
Wallace, Robyn C.
Garvin, William
Greenlund, Kurt J.
Bartoli, William
Ford, Derek
Eke, Paul
Town, G. Machell
author_sort Pierannunzi, Carol
collection PubMed
description Public health researchers have used a class of statistical methods to calculate prevalence estimates for small geographic areas with few direct observations. Many researchers have used Behavioral Risk Factor Surveillance System (BRFSS) data as a basis for their models. The aims of this study were to 1) describe a new BRFSS small area estimation (SAE) method and 2) investigate the internal and external validity of the BRFSS SAEs it produced. The BRFSS SAE method uses 4 data sets (the BRFSS, the American Community Survey Public Use Microdata Sample, Nielsen Claritas population totals, and the Missouri Census Geographic Equivalency File) to build a single weighted data set. Our findings indicate that internal and external validity tests were successful across many estimates. The BRFSS SAE method is one of several methods that can be used to produce reliable prevalence estimates in small geographic areas.
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spelling pubmed-49510812016-08-17 A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System Pierannunzi, Carol Xu, Fang Wallace, Robyn C. Garvin, William Greenlund, Kurt J. Bartoli, William Ford, Derek Eke, Paul Town, G. Machell Prev Chronic Dis Special Topic Public health researchers have used a class of statistical methods to calculate prevalence estimates for small geographic areas with few direct observations. Many researchers have used Behavioral Risk Factor Surveillance System (BRFSS) data as a basis for their models. The aims of this study were to 1) describe a new BRFSS small area estimation (SAE) method and 2) investigate the internal and external validity of the BRFSS SAEs it produced. The BRFSS SAE method uses 4 data sets (the BRFSS, the American Community Survey Public Use Microdata Sample, Nielsen Claritas population totals, and the Missouri Census Geographic Equivalency File) to build a single weighted data set. Our findings indicate that internal and external validity tests were successful across many estimates. The BRFSS SAE method is one of several methods that can be used to produce reliable prevalence estimates in small geographic areas. Centers for Disease Control and Prevention 2016-07-14 /pmc/articles/PMC4951081/ /pubmed/27418213 http://dx.doi.org/10.5888/pcd13.150480 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Special Topic
Pierannunzi, Carol
Xu, Fang
Wallace, Robyn C.
Garvin, William
Greenlund, Kurt J.
Bartoli, William
Ford, Derek
Eke, Paul
Town, G. Machell
A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title_full A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title_fullStr A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title_full_unstemmed A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title_short A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
title_sort methodological approach to small area estimation for the behavioral risk factor surveillance system
topic Special Topic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951081/
https://www.ncbi.nlm.nih.gov/pubmed/27418213
http://dx.doi.org/10.5888/pcd13.150480
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