Multivariable Linear Regression Analysis of Intracompartmental Pressure Factors

A multivariable linear regression analysis investigating factors associated with intracompartmental pressure. The dataset, created by Heng Zhang and shared under a CC-BY-4.0 license, was last updated on March 25, 2026. It is stored in an XLS file with a size of 5.5 KB.

Use Cases

• Training regression models to predict intracompartmental pressure based on clinical and morphometric factors.
• Validating non-invasive methods for estimating compartment pressure against invasive measurements.
• Identifying key clinical variables correlated with high compartment pressure in trauma patients.

Strengths

• Dataset is openly licensed (CC-BY-4.0), permitting reuse and redistribution.
• File size is small (5.5 KB), facilitating quick download and inspection.

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

Heng Zhang via figshare.

Collection Method

Analysis likely based on clinical data from a tertiary trauma center, as suggested by platform tags.

Time Range

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Freshness

Last updated 2026-03-25 17:45:06; freshness should be verified.

Geography

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