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Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
The Rate Stabilizing Tool: Generating Stable Local- Level Measures of Chronic Disease
Preventing chronic disease, v 16(3), pp E38-E38
01 Mar 2019
PMID: 30925140
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Accurate and precise estimates of local-level epidemiologic measures are critical to informing policy and program decisions, but they often require advanced statistical knowledge, programming/coding skills, and extensive computing power. In response, we developed the Rate Stabilizing Tool (RST), an ArcGIS-based tool that enables users to input their own record-level data to generate more reliable age-standardized measures of chronic disease (eg, prevalence rates, mortality rates) or other population health out-comes at the county or census tract levels. The RST uses 2 forms of empirical Bayesian modeling (nonspatial and spatial) to estimate age-standardized rates and 95% credible intervals for user-specified geographic units. The RST also provides indicators of the reliability of point estimates. In addition to reviewing the RST's statistical techniques, we present results from a simulation study that illustrates the key benefit of smoothing. We demonstrate the dramatic reduction in root mean-squared error (rMSE), indicating a better compromise between accuracy and stability for both smoothing approaches relative to the unsmoothed estimates. Finally, we provide an example of the RST's use. This example uses heart disease mortality data for North Carolina census tracts to map the RST output, including reliability of estimates, and demonstrates a subsequent statistical test.
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Details
- Title
- The Rate Stabilizing Tool: Generating Stable Local- Level Measures of Chronic Disease
- Creators
- Harrison Quick - Drexel UniversityJoshua Tootoo - Rice UniversityRuiyang Li - Rice UniversityAdam S. Vaughan - Centers for Disease Control and PreventionLinda Schieb - Centers for Disease Control and PreventionMichele Casper - Centers for Disease Control and PreventionMarie Lynn Miranda - Rice University
- Publication Details
- Preventing chronic disease, v 16(3), pp E38-E38
- Publisher
- Centers Disease Control & Prevention
- Number of pages
- 7
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000463362800004
- Scopus ID
- 2-s2.0-85063647071
- Other Identifier
- 991019168166304721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health