Quantile Regression Analysis of Medical Expenditures for Overweight and Obesity

A 13.5 KB Excel file containing results from a quantile regression analysis of annual total medical expenditures attributable to overweight or obesity. The dataset was authored by Yuki Yonekura and last updated on May 19, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Modeling the distribution of healthcare costs attributable to overweight based on regression results.
• Comparing medical expenditure impacts across different quantiles of the spending distribution.
• Informing policy on obesity-related healthcare burden using statistical analysis outputs.

Strengths

• Dataset is small (13.5 KB), facilitating quick download and inspection.
• The analysis uses quantile regression, which can reveal distributional effects not captured by mean regression.
• Clear attribution to author Yuki Yonekura and a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Quantile regression analysis.

Freshness

Last updated 2026-05-19 17:24:56; freshness should be verified.