Multivariate Logistic Regression Results for Opioid Use Disorder Diagnosis

Robert W. Hurley published multivariate logistic regression results for opioid use disorder diagnosis outcomes in Medicare and Medicaid. The dataset is a 9.5 KB Excel file available on figshare under a CC-BY-4.0 license. It was last updated on April 29, 2026.

Use Cases

• Analyze risk factors for opioid use disorder diagnosis based on multivariate logistic regression results.
• Compare opioid use disorder outcomes between Medicare and Medicaid populations.
• Validate statistical models for healthcare policy analysis using published regression results.
• Inform public health interventions targeting opioid use disorder in government-insured populations.

Strengths

• The dataset is openly available under a CC-BY-4.0 license.
• It provides multivariate logistic regression results, a specific statistical analysis output.
• The file size is 9.5 KB, indicating a compact and likely focused set of results.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-04-29 17:36:14; freshness should be verified.