controlling the quality of diagnostic tests
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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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Presentation Transcript
precision accuracy
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.
precision and accuracy
Precision and accuracy

Precise and accurate

Accurate

Neither precise, nor accurate

Precise

purpose of the exercise
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.
materials available
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
protocol
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
assay protocol
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
interpretation
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
overall data example of graph
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 #

questions

Questions?

Thanks for your attention

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