Hierarchical Logistic Regression Models for Serum Uric Acid and Nephrolithiasis

Hierarchical logistic regression models analyze the association between serum uric acid and nephrolithiasis. The dataset is a 5.5 KB Excel file authored by Jun Ho Lee and published on figshare. It was last updated on May 26, 2026.

Use Cases

• Training logistic regression models based on the described hierarchical structure
• Analyzing risk associations between serum uric acid and nephrolithiasis
• Replicating statistical analyses for medical research papers
• Teaching hierarchical modeling techniques in medical statistics

Strengths

• Dataset is openly licensed under CC-BY-4.0
• File size is 5.5 KB, indicating a compact and focused dataset

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