ArticleAmerican journal of epidemiology2015
Validation of multilevel regression and poststratification methodology for small area estimation of health indicators from the behavioral risk factor surveillance system.
Article in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
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Who cites it
103 citing papers in PubMed.
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- Population Estimates and Hypertension and Diabetes Prevalence: Cross-Sectional Quantitative Study Comparing Electronic Health Record-Derived Counts, Census, and Centers for Disease Control and Prevention Population Level Analysis and Community Estimates.JMIR public health and surveillance · 2026Article
- Association Between Observed Climate Change and Cardiovascular Disease in the United States.GeoHealth · 2026Article
- Subsidized Housing Availability and Preventive Care Utilization in US Neighborhoods.Journal of general internal medicine · 2026Article
- The Association of County-level Structural Racism with Risk Factors for Negative Maternal Health and Birth Outcomes among Non-Hispanic Black People of Childbearing Age.Journal of racial and ethnic health disparities · 2026Article
- Per- and polyfluoroalkyl substances in drinking water and cancer prevalence in the United States.Environmental health : a global access science source · 2026Article
- Multilevel regression and poststratification interface: an application to track community-level COVID-19 viral transmission.Population health metrics · 2026Article
- Application of Spatial Methods in Rural Cancer Control Research in the United States.Current epidemiology reports · 2026Review
- Supply of interventional cardiologists and the provision of lower-value Percutaneous Coronary Interventions (PCI).PloS one · 2026Article
- Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis.JMIR formative research · 2025Article
- Article
- Manifestations of Structural Racism and Inequities in Cardiovascular Health Across US Neighborhoods.JAMA health forum · 2025Article
- Exploring the Link Between Social and Economic Instability and COPD: A Cross-Sectional Analysis of the 2022 BRFSS.International journal of environmental research and public health · 2025Article
- Estimating county-level dental care utilization among adults in California using multilevel modeling with raking approach.Archives of public health = Archives belges de sante publique · 2025Article
- On the Use of Auxiliary Variables in Multilevel Regression and Poststratification.Statistical science : a review journal of the Institute of Mathematical Statistics · 2025Article
- Neighborhood Factors Related to Cancer Screening in Texas: A Spatioecological Study.American journal of preventive medicine · 2025Article
- Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana.BMC public health · 2025Article
- Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates.Epidemiology (Cambridge, Mass.) · 2025Article
43 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
Small area estimation is a statistical technique used to produce reliable estimates for smaller geographic areas than those for which the original surveys were designed. Such small area estimates (SAEs) often lack rigorous external validation. In this study, we validated our multilevel regression and poststratification SAEs from 2011 Behavioral Risk Factor Surveillance System data using direct estimates from 2011 Missouri County-Level Study and American Community Survey data at both the state and county levels. Coefficients for correlation between model-based SAEs and Missouri County-Level Study direct estimates for 115 counties in Missouri were all significantly positive (0.28 for obesity and no health-care coverage, 0.40 for current smoking, 0.51 for diabetes, and 0.69 for chronic obstructive pulmonary disease). Coefficients for correlation between model-based SAEs and American Community Survey direct estimates of no health-care coverage were 0.85 at the county level (811 counties) and 0.95 at the state level. Unweighted and weighted model-based SAEs were compared with direct estimates; unweighted models performed better. External validation results suggest that multilevel regression and poststratification model-based SAEs using single-year Behavioral Risk Factor Surveillance System data are valid and could be used to characterize geographic variations in health indictors at local levels (such as counties) when high-quality local survey data are not available.
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