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Controlling the quality of diagnostic tests

Controlling the quality of diagnostic tests. E. Bravi. Precision & Accuracy. In the fields of science, engineering, industry, and statistics, the  ACCURACY of a measurement system is the degree of closeness of measurements of a quantity to that quantity's actual (true) value .

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Controlling the quality of diagnostic tests

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  1. Controlling the quality of diagnostic tests E. Bravi

  2. Precision & Accuracy • In the fields of science, engineering, industry, and statistics, the ACCURACYof a measurement system is the degree of closeness of measurements of a quantity to that quantity's actual (true) value. • ThePRECISION of a measurement system, related to reproducibility and repeatability, is the degree to which repeated measurements under unchanged conditions show the same results. • Although the two words, precision and accuracy, can be synonymous in colloquial use, they are deliberately contrasted in the context of the scientific method.

  3. Precision and accuracy Precise and accurate Accurate Neither precise, nor accurate Precise

  4. Purpose of the exercise • To check how the performance of different test results may influence the follow-up of patients submitted to a Gluten Free Diet in various clinical settings.

  5. Materials available • 7 vials containing ready-to-use samples. • Samples must not be diluted • Each sample has a different anti-tTG concentration • Anti-tTG concentration is unknown

  6. Protocol • Each centre will be assigned a code by MediCel • Register data results into the provided spreadsheet • Complete the spreadsheet and send it back to the evaluation centre • The evaluation centre will provide all participants with overall and their results

  7. Assay Protocol • Allow all reagents to reach room temperature • Run your own assay as usual • Include unknown samples as ready-to-use specimens • Register data results into the provided spreadsheet

  8. How to report results

  9. Interpretation • Results will be used as follows: • All values: • To generate a consensus Mean. • To define acceptability range (Mean ± 2 St. Dev.) • and for each method: • To calculate Mean and Standard Deviation

  10. Overall data - Example of graph +2 St Dev Mean -2 St. Dev * * * * * * * * * * 1 2 3 4 5 6 7 8 9 10 Cumulative Mean * Your lab Lab #

  11. Questions? Thanks for your attention

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