Hormone Measurement Data for External Quality Assessment Material Suitability

A dataset from a study comparing native human sera and processed control materials for external quality assessment (EQA). The data includes measurements of testosterone, progesterone, and 17β-estradiol analyzed using a mixed-effects model to assess commutability. The study was authored by Laura Vierbaum and shared on figshare under a CC-BY-4.0 license.

Use Cases

• Assess the commutability of processed control materials based on comparative bias analysis described in the study.
• Identify measurement procedure-specific performance issues, such as calibration or specificity problems, based on the scattered bias patterns for native materials.
• Evaluate the suitability of external quality assessment materials for specific analyte/reagent manufacturer pairings as detailed in the results.

Strengths

• Dataset is openly shared under a CC-BY-4.0 license.
• The study provides a methodological framework for assessing material commutability using a mixed-effects model.
• Focuses on three specific hormones (testosterone, progesterone, 17β-estradiol) relevant to clinical diagnostics.

Limitations

• The dataset is small at 120.9 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description mentions the approach is resource-intensive and restricted to specific questions and selected analytes.

Provenance

Source

figshare

Collection Method

Comparative analysis of laboratory results for native and processed external quality assessment materials.

Freshness

Last updated 2026-05-13 04:41:32; freshness should be verified.