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Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

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...
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Systematic Error: Methodological and Sampling Errors01:15

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Sperm Collection of Differential Quality Using Density Gradient Centrifugation
03:28

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Published on: November 29, 2018

Acceptable variability in external quality assessment programmes for basic semen analysis.

E R Palacios1, A Clavero, M C Gonzalvo

  • 1Unidad de Reproducción, Hospital Universitario Virgen de las Nieves, Granada E-18014, Spain.

Human Reproduction (Oxford, England)
|December 7, 2011
PubMed
Summary
This summary is machine-generated.

External quality assessment programs for semen analysis require defined acceptable variability limits. Defining "expert laboratories" is crucial for clinically useful results in semen parameter testing.

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Area of Science:

  • Andrology
  • Laboratory Medicine
  • Quality Assurance

Background:

  • External quality assessment programs (EQAPs) are vital for andrology laboratories.
  • Establishing acceptable variability limits is essential for assessing laboratory proficiency.
  • Current limits often depend on individual EQAP organizers' criteria.

Purpose of the Study:

  • To evaluate ISO 13528:2005 criteria for calculating acceptable variability in semen analysis EQAPs.
  • To compare different methods for determining acceptable variability ranges.

Main Methods:

  • Utilized means and standard deviations from national and international EQAPs.
  • Calculated acceptable variability using four ISO 13528:2005 criteria: (i) all lab SDs, (ii) expert lab SDs, (iii) quality specifications (biological variability, state-of-the-art, clinical opinion), and (iv) specifications adjusted for uncertainty.
  • Compared the resulting variability ranges.

Main Results:

  • Criteria based on all or expert lab standard deviations yielded excessively wide variability ranges.
  • Quality specifications alone resulted in very narrow ranges.
  • Adjusting specifications for uncertainty produced intermediate ranges, with minimal differences between strategies (iii) and (iv) regardless of the analytical quality model used.

Conclusions:

  • EQAPs for semen parameters must establish clinically useful acceptable variability ranges.
  • The definition of 'expert laboratory' significantly impacts the outcome, more so than the analytical quality specification model.
  • Ensuring minimal negative impact on clinical decisions is paramount for EQAP results.