Clinical Device Error Metrics by Parameter and Age Group

Figshare hosts a dataset by Helen L. Storey detailing statistical error metrics for medical devices. The data includes mean absolute error, standard deviation, and 95% limits of agreement, analyzed by clinical parameter, age category, and device. It was last updated in March 2026.

Use Cases

• Compare mean absolute error values for specific clinical parameters like blood pressure or glucose across different device models.
• Analyze how the 95% limit of agreement for a device varies between age categories such as pediatric and adult groups.
• Assess the impact of outlier removal on standard deviation calculations for a given clinical parameter and device combination.

Strengths

• Provides three distinct error metrics (mean absolute error, standard deviation, 95% LoA) for comparative analysis.
• Data is disaggregated by at least three dimensions: clinical parameter, age category, and device.

Limitations

• Dataset size is only 13.5 KB, indicating a very limited scope or small number of summarized observations.
• Specific row count, sample sizes for each group, and raw measurement data are not provided.

Provenance

Source

Helen L. Storey via Figshare.

Freshness

Last updated March 2026.