Table 2_Using native human sera to assess the suitability of external quality assessment m

A study dataset from figshare compares laboratory results for native human sera and processed control materials used in external quality assessment (EQA) programs. The data, authored by Laura Vierbaum and last updated in 2026, supports an analysis of measurement procedure performance and material commutability for testosterone, progesterone, and 17β-estradiol assays. The dataset is 15.3 KB in size and is licensed under CC-BY-4.0.

Use Cases

• Assess the suitability of processed control materials for EQA programs based on comparative analysis with native samples.
• Identify measurement procedure-specific biases or calibration issues based on the scattered bias patterns described.
• Evaluate commutability of materials for specific analyte/reagent manufacturer pairings using the mixed-effects model approach.
• Design targeted follow-up studies for inconclusive pairings based on the limited number of EQA materials noted.

Strengths

• Dataset is focused on three specific hormones: testosterone, progesterone, and 17β-estradiol.
• Analysis employs a mixed-effects model with 95% confidence intervals for bias estimation.
• The study explicitly identifies two analyte/manufacturer pairings where processed materials showed insufficient commutability.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The study's scope is inherently restricted to specific questions and selected analytes, as noted in the conclusion.

Provenance

Source

figshare

Collection Method

Laboratory results from an external quality assessment survey comparatively analyzed using a mixed-effects model.

Freshness

Last updated 2026-05-13 04:41:38; freshness should be verified.