ArticlePreventing chronic disease2019
Small Area Estimation of Cancer Risk Factors and Screening Behaviors in US Counties by Combining Two Large National Health Surveys.
Article in Preventing chronic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
- Multiple Primary Cancer Incidence by County-Level Smoking Prevalence among U.S. Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Application of Spatial Methods in Rural Cancer Control Research in the United States.Current epidemiology reports · 2026Review
- Geographic and Temporal Patterns of Screening for Breast, Cervical, and Colorectal Cancer in the US, 1997-2019.JAMA network open · 2025Article
- Lung Cancer Screening Rates in the United States: Contribution of the 2020 NHIS Estimates to National and State-Level Trends.American journal of preventive medicine · 2025Article
- Small Area Estimation of PSA Testing in US States and Counties.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- Association of US county-level social vulnerability index with breast, colorectal, and lung cancer screening, incidence, and mortality rates across US counties.Frontiers in oncology · 2024Article
- Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data.BMC public health · 2023Article
- A population health assessment of screening mammography on breast cancer mortality in North Carolina.Breast cancer research and treatment · 2022Article
- Hierarchical Bayes small area estimation for county-level health prevalence to having a personal doctor.Statistical methods & applications · 2022Article
- Cancer disparities in the context of rurality: risk factors and screening across various U.S. rural classification codes.Cancer causes & control : CCC · 2022Article
- Assessment of Colorectal Cancer Screening Disparities in U.S. Men and Women Using a Demographically Representative Sample.Cancer research communications · 2022Article
- Association of Community Economic Distress and Breast and Colorectal Cancer Screening, Incidence, and Mortality Rates Among US Counties.Annals of surgical oncology · 2022Article
- Article
- Small-Area Estimation of Smoke-Free Workplace Policies and Home Rules in US Counties.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Identifying New York City Neighborhoods at Risk of Being Overlooked for Interventions.Preventing chronic disease · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNational health surveys, such as the National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS), collect data on cancer screening and smoking-related measures in the US noninstitutionalized population. These surveys are designed to produce reliable estimates at the national and state levels. However, county-level data are often needed for cancer surveillance and related research.
methodsTo use the large sample sizes of BRFSS and the high response rates and better coverage of NHIS, we applied multilevel models that combined information from both surveys. We also used relevant sources such as census and administrative records. By using these methods, we generated estimates for several cancer risk factors and screening behaviors that are more precise than design-based estimates.
resultsWe produced reliable, modeled estimates for 11 outcomes related to smoking and to screening for female breast cancer, cervical cancer, and colorectal cancer. The estimates were produced for 3,112 counties in the United States for the data period from 2008 through 2010.
conclusionThe modeled estimates corrected for potential noncoverage bias and nonresponse bias in the BRFSS and reduced the variability in NHIS estimates that is attributable to small sample size. The small area estimates produced in this study can serve as a useful resource to the cancer surveillance community.
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