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

Details

• Journal Article:
  Preventing Chronic Disease (PCD)
• Personal Author:
  Pierannunzi, Carol ; Xu, Fang ; Wallace, Robyn C. ; Garvin, William ; Greenlund, Kurt J. ; Bartoli, William ; Ford, Derek ; Eke, Paul ; Town, G. Machell
• 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.
• Subjects:
  Behavioral Risk Factor Surveillance System Humans Population Surveillance Prevalence Public Health Reproducibility Of Results Small-Area Analysis Special Topic
• Source:
  Prev Chronic Dis. 13.
• DOI:
  http://dx.doi.org/10.5888/pcd13.150480
• ISSN:
  1545-1151
• Pubmed ID:
  27418213
• Pubmed Central ID:
  PMC4951081
• Document Type:
  Journal Article
• Place as Subject:
  United States
• Location:
  North America
• Volume:
  13
• Collection(s):
  Preventing Chronic Disease
• Main Document Checksum:
  urn:sha-512:09a110a681708eaa665b1b7b264310a9639f55243c061a54416d3536519a974131f0461faa1f456f80859c219f17cc1f23e45afdb6380847efd7d1bda18b0e5f
• Download URL:
  https://stacks.cdc.gov/view/cdc/40975/cdc_40975_DS1.pdf
• File Type:
  [PDF - 323.61 KB ]