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Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

142
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
142

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Analytical performance specifications based on biological variation data - considerations, strengths and limitations.

Sverre Sandberg1,2,3, Abdurrahman Coskun4, Anna Carobene5

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Analytical performance specifications (APS) can be based on biological variation (BV) for most measurands. This paper reviews BV-based APS formulas, their applications, and the importance of accurate BV estimates from databases like EFLM.

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Analytical Toxicology

Background:

  • Analytical performance specifications (APS) are crucial for laboratory test quality.
  • Current APS models include outcome studies, biological variation (BV), and state-of-the-art.
  • Biological variation (BV) is increasingly utilized for establishing APS, especially for measurands with stable concentrations.

Purpose of the Study:

  • To elucidate the background, limitations, strengths, and intended applications of different BV-based APS formulas.
  • To emphasize the importance of accurate and relevant BV estimates for setting APS.
  • To highlight the role of the EFLM biological variation database in providing reliable BV data and calculating APS.

Main Methods:

  • Review and elucidation of existing BV-based APS formulas.
  • Discussion of the suitability and application settings for different APS formulas.
  • Reference to the EFLM biological variation database for BV data and APS calculation.

Main Results:

  • BV-based APS are applicable to various laboratory processes for measurands with stable concentrations.
  • Accurate and relevant BV estimates are critical for the validity of all BV-based APS formulas.
  • Efficient procedures now exist for obtaining reliable BV estimates, as documented in the EFLM database.

Conclusions:

  • BV-based APS offer a robust framework for defining analytical quality in clinical laboratories.
  • The selection and application of appropriate BV-based APS formulas require careful consideration of their specific characteristics.
  • The EFLM biological variation database serves as a valuable resource for accessing BV data and facilitating the calculation of BV-based APS.