Regression Model Performance Metrics for Muscle Parameters

Performance metrics for regression models analyzing muscle parameters. The dataset contains statistical measures including standard errors, standardized coefficients, Cohen's f² effect sizes, and statistical power. Byungmun Kang published this data in March 2026.

Use Cases

• Compare standard errors and standardized coefficients across different muscle parameter regression models.
• Assess Cohen's f² effect sizes to quantify variance explained by independent variables in muscle studies.
• Evaluate statistical power values to determine sample size adequacy for detecting significant results in physiological models.

Strengths

• Includes multiple key regression metrics: standard error, standardized coefficients, Cohen's f², and statistical power.
• Published under an open CC BY 4.0 license for reuse.

Limitations

• Small dataset at only 5.5 KB, indicating very limited scope and likely few rows.
• No column names or sample data provided, hindering immediate analysis.

Provenance

Source

figshare, author Byungmun Kang.

Collection Method

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Time Range

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Freshness

Last updated March 2026.

Geography

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