Multivariable Linear Regression Analyses of Homocysteine and PTH Levels

A small dataset of 5.5 KB containing multivariable linear regression analyses of ln-transformed homocysteine and serum parathyroid hormone levels. It was authored by Jia-hao Wang and last updated on June 1, 2026. The data is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Train linear regression models based on the relationship between homocysteine and parathyroid hormone levels.
• Conduct statistical re-analysis based on the provided multivariable regression results.
• Benchmark analytical methods for small-scale clinical biochemistry datasets.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is precisely 5.5 KB, indicating a focused analysis.

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

Jia-hao Wang via figshare.

Collection Method

Likely contains results from clinical or laboratory analyses.

Freshness

Last updated 2026-06-01 17:40:56; freshness should be verified.