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Validation of accuracy by interlaboratory programme
1Mineral Sciences Laboratories, Canada Centre for Mineral and Energy Technology, 555 Booth Street, Ottawa, Ontario, Canada.
This study proposes a statistical design for analytical method accuracy validation using certified reference materials. It highlights that method bias below the certified value
Area of Science:
- Analytical Chemistry
- Statistical Methods
- Metrology
Background:
- Accurate analytical methods are crucial for reliable scientific and industrial measurements.
- Interlaboratory programs are essential for method validation and ensuring measurement comparability.
- Certified Reference Materials (CRMs) play a key role in accuracy assessment.
Purpose of the Study:
- To propose a statistical design for assessing analytical method accuracy.
- To evaluate the effectiveness of using CRMs in interlaboratory programs for accuracy validation.
- To define criteria for determining practical significance of method bias.
Main Methods:
- Development of a statistical framework for accuracy assessment.
- Application of the design within an interlaboratory testing program.
- Analysis of the difference between certified values and overall method means.
Main Results:
- A statistical design for accuracy validation using CRMs in interlaboratory studies is presented.
- Accuracy validation is based on the difference between the CRM's certified value and the interlaboratory program's overall mean.
- A method's bias cannot be detected if it is smaller than the confidence interval of the CRM's certified value.
Conclusions:
- The proposed statistical design provides a robust method for validating analytical accuracy.
- The study clarifies the limitations of CRMs in detecting small method biases.
- Establishing a threshold for practical significance is key in accuracy validation.
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