Diabetes Prevalence and Food Access in Northwestern North Carolina Census Tracts

Northwestern North Carolina census tract data linking diabetes prevalence to potentially misclassified healthy food access. Ashley E. Mullan developed a maximum likelihood estimator to correct bias from using straight-line distance approximations. The dataset is available under a CC-BY-4.0 license and was last updated in May 2026.

Use Cases

• Estimating the relationship between diabetes prevalence and food access based on census tract data.
• Testing bias-correction methods for Poisson regression with misclassified binary exposures.
• Comparing statistical efficiency of proposed estimators versus complete case analysis.
• Simulating the consequences of ignoring misclassification in health access models.

Strengths

• Dataset includes a novel statistical estimator for bias correction, as described in the accompanying research.
• Files are available in PDF and GZ formats totaling 10.4 MB.
• License is CC-BY-4.0, allowing for open reuse and modification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the northwestern North Carolina study region.

Provenance

Source

figshare

Collection Method

Likely derived from census tract data and distance calculations, as described in the research paper.

Freshness

Last updated 2026-05-05 08:35:25; freshness should be verified.

Geography

Northwestern North Carolina census tracts.